Forskningen min er forankret i informasjonsvitenskap og ligger i skjæringspunktet mellom ansvarlig kunstig intelligens, anbefalingssystemer, beregningsbasert brukeratferd, atferdsdataanalyse og menneske-KI-interaksjon. Jeg studerer hvordan KI-systemer former menneskelige beslutninger, preferanser, tillit og atferd, og hvordan slike systemer kan utformes slik at de støtter informert, kritisk og samfunnsnyttig bruk.

Siden 2009 har jeg publisert mer enn 150 fagfellevurderte vitenskapelige artikler i ledende internasjonale tidsskrifter og konferanser, blant annet Nature Food, Nature Sustainability, Communications of the ACM, The Web Conference, ACM RecSys, ACM UMAP, AAAI ICWSM, ACM SIGIR, JASIST, IPM og UMUAI. Forskningen min har mottatt flere priser og utmerkelser, blant annet Best Paper Award Honorable Mention ved The Web Conference. Jeg har også bidratt til å sikre mer enn 650 millioner NOK i konkurranseutsatt forsknings- og innovasjonsfinansiering som prosjektleder og med-prosjektleder, inkludert SFI MediaFutures.

• Mål: Mitt langsiktige forskningsmål er å utvikle KI-systemer som er nyttige, pålitelige og samfunnsansvarlige. Jeg er særlig opptatt av å forstå, modellere og positivt påvirke menneskelig atferd gjennom KI og anbefalingssystemer, for eksempel ved å hjelpe mennesker med å få tilgang til pålitelig informasjon, ta sunnere matvalg eller engasjere seg i mer mangfoldige og viktige nyheter.
• Tilnærming: Arbeidet mitt kombinerer beregningsmodeller, storskala analyse av atferdsdata, forskning på anbefalingssystemer, brukerstudier, nettbaserte eksperimenter, living-lab-studier og tverrfaglig teori fra informatikk, medievitenskap, psykologi, helsevitenskap og samfunnsvitenskap. Jeg samarbeider tett med industri, offentlig sektor og akademiske partnere for å teste KI-systemer i realistiske omgivelser og omsette forskning til praksis.
• Anvendelse: Forskningen min har anvendelser innen medieteknologi, journalistikk, anbefalingssystemer, helsekommunikasjon, matsystemer, personalisering, KI-transparens og pålitelige digitale tjenester. Som grunnlegger og senterleder for SFI MediaFutures, grunnlegger og leder av DARS-gruppen, og leder for Norwegian Computational Behaviour & AI Lab, bygger jeg tverrfaglige forskningsmiljøer som utvikler ansvarlig KI-teknologi for reelle samfunns- og næringslivsutfordringer.

Jeg formidler jevnlig forskning om ansvarlig KI, anbefalingssystemer, pålitelig medieteknologi og beregningsbasert brukeratferd til akademia, næringsliv, myndigheter og allmennheten. Jeg er ACM Senior Member og ACM Distinguished Speaker, og holder ofte inviterte foredrag, keynotes, gjesteforelesninger og rådgivningsinnlegg om hvordan KI-systemer påvirker tillit, beslutninger og samfunn.

Jeg har vært seniorprogramkomitémedlem, arrangør eller leder for ledende internasjonale konferanser og workshops, blant annet ACM RecSys, ACM SIGIR, ACM UMAP, The Web Conference, HealthRecSys og MMM. Jeg sitter også i redaksjonsråd for tidsskrifter som Online Social Networks and Media og AI and Ethics, og gir råd til forsknings-, innovasjons- og oppstartsmiljøer innen ansvarlig KI, medieteknologi, helse og mat.

Gjennom SFI MediaFutures, DARS og Norwegian Computational Behaviour & AI Lab arbeider jeg aktivt med å omsette forskning til offentlig debatt, politikkutforming, industrisamarbeid og praktiske løsninger for ansvarlig KI. Formidlings- og rådgivningsarbeidet mitt handler særlig om å hjelpe organisasjoner med å designe, evaluere og styre KI-systemer som mennesker kan forstå, stille spørsmål ved og ha tillit til.

Jeg har mer enn 15 års erfaring med universitetsundervisning i Østerrike og Norge, med undervisning og veiledning på bachelor-, master-, MBA- og ph.d.-nivå. Siden 2009 har jeg undervist mer enn 2000 studenter i over 35 emner innen informasjonssystemer, anbefalingssystemer, data science, web science, kunstig intelligens, forskningsmetode og digitale medier. Jeg har også veiledet mer enn 35 master- og ph.d.-kandidater.

Mitt nåværende utdanningsbidrag er særlig knyttet til ph.d.- og masterveiledning, forskningsmentoring, invitert undervisning, gjesteforelesninger, etter- og videreutdanning og offentlig formidling innen ansvarlig KI, anbefalingssystemer og beregningsbasert brukeratferd. Jeg er for tiden fritatt fra ordinær undervisning på grunn av min rolle som senterleder for SFI MediaFutures.

Studenter som ønsker å skrive bachelor-, master- eller ph.d.-oppgave under min veiledning, er velkommen til å kontakte meg på e-post: christoph.trattner@uib.no. Jeg er særlig interessert i å veilede sterke studenter som vil arbeide med ansvarlig KI, anbefalingssystemer, pålitelig medieteknologi, KI-transparens, beregningsbasert brukeratferd, helse eller matrelaterte anbefalingssystemer.

Vitenskapelig artikkel

• Siri-Linn Schmidt Fotland; Arngeir Berge; Erik Zakariassen et al. (2026). JMIR Formative Research - Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study. (ekstern lenke)
• Ayoub el Majjodi; Jonas Bech Holtan; Alain D. Starke et al. (2026). LLM-Based Healthiness? Analyzing the Nutritional Quality of an AI-Generated Recipe Dataset. (ekstern lenke)
• Anastasiia Klimashevskaia; Snorre Alvsvåg; Christoph Trattner et al. (2025). Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption. (ekstern lenke)
• Tobias Jovall Wessel; Christoph Trattner; Alain Dominique Starke (2025). Using Large Language Models to ‘Lighten the Mood’: Satirically Reframing News Recommendations to Reduce News Avoidance. (ekstern lenke)
• Svenja Lys Forstner; Yelyzaveta Lysova; Alain Dominique Starke et al. (2025). Evaluating Image Trust Labels in a News Recommender System. (ekstern lenke)
• Ayoub el Majjodi; Alain Dominique Starke; Christoph Trattner et al. (2025). Nudging Healthy Choices: Leveraging LLM-Generated Hashtags and Explanations in Personalized Food Recommendations. (ekstern lenke)
• Gloria Anne Babile Kasangu; Alain Dominique Starke; Christoph Trattner (2025). More of the Same? A Longitudinal Evaluation of Two Similarity-based Approaches in a News Recommender System. (ekstern lenke)
• Jørgen Eknes-Riple; Jia-Hua Jeng; Alain Dominique Starke et al. (2025). Hope, Fear, or Anger? How Emotional Framing in a News Recommender System Guides User Preferences. (ekstern lenke)
• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2024). Negativity Sells? Using an LLM to Affectively Reframe News Articles in a Recommender System. (ekstern lenke)
• Qing Zhang; David Elsweiler; Christoph Trattner (2020). Visual cultural biases in food classification. (ekstern lenke)
• Christoph Trattner; David Elsweiler (2019). An evaluation of recommendation algorithms for online recipe portals. (ekstern lenke)
• Marieke van Erp; Christian Reynolds; Diana Maynard et al. (2021). Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food. (ekstern lenke)
• Christoph Trattner; Tomasz Kusmierczyk; Kjetil Nørvåg (2019). Investigating and predicting online food recipe upload behavior. (ekstern lenke)
• Alain Dominique Starke; Cataldo Musto; Amon Rapp et al. (2023). “Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices. (ekstern lenke)
• Yi-Ling Lin; Denis Parra; Christoph Trattner et al. (2019). Tag-based information access in image collections: insights from log and eye-gaze analyses. (ekstern lenke)
• Alain Dominique Starke; Vegard Rygh Solberg; Sebastian Øverhaug Larsen et al. (2024). Examining the merits of feature-specific similarity functions in the news domain using human judgments. (ekstern lenke)
• Sohail Ahmed Khan; Ghazaal Sheikhi; Andreas Lothe Opdahl et al. (2023). Visual User-Generated Content Verification in Journalism: An Overview. (ekstern lenke)
• Christoph Trattner; Alexander Oberegger; Leandro Balby Marinho et al. (2018). Investigating the Utility of the Weather Context for Point of Interest Recommendations. (ekstern lenke)
• Qing Zhang; David Elsweiler; Christoph Trattner (2023). Understanding and predicting cross-cultural food preferences with online recipe images. (ekstern lenke)
• Christoph Trattner; Michael Steurer (2015). Detecting partnership in location-based and online social networks. (ekstern lenke)
• Alain Dominique Starke; Edis Asotic; Christoph Trattner et al. (2023). Examining the User Evaluation of Multi-list Recommender Interfaces in the Context of Healthy Recipe Choices. (ekstern lenke)
• Hanna Hautpmann; Alan Said; Christoph Trattner (2022). Research directions in recommender systems for health and well-being: A Preface to the Special Issue. (ekstern lenke)
• Aslaug Linnea Angelsen; Alain Dominique Starke; Christoph Trattner (2023). Healthiness and environmental impact of dinner recipes vary widely across developed countries. (ekstern lenke)
• Mehdi Elahi; Alain Dominique Starke; Nabil El Ioini et al. (2022). Developing and Evaluating a University Recommender System. (ekstern lenke)
• Alain D. Starke; Martijn C. Willemsen; Christoph Trattner (2021). Nudging Healthy Choices in Food Search Through Visual Attractiveness. (ekstern lenke)
• Erik Knudsen; Alain Dominique Starke; Christoph Trattner (2023). Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway. (ekstern lenke)
• Vicente Dominguez; Pablo Messina; Christoph Trattner et al. (2018). Towards explanations for visual recommender systems of artistic images. (ekstern lenke)
• Christoph Trattner; Dominik Moesslang; David Elsweiler (2018). On the predictability of the popularity of online recipes. (ekstern lenke)
• Christoph Trattner; Dietmar Jannach (2019). Learning to Recommend Similar Items from Human Judgements. (ekstern lenke)
• Marc Gallofré Ocaña; Lars Nyre; Andreas Lothe Opdahl et al. (2019). Towards a Big Data Platform for News Angles. (ekstern lenke)
• Emanuel Lacic; Dominik Kowald; Lukas Eberhard et al. (2015). Utilizing online social network and location-based data to recommend products and categories in online marketplaces. (ekstern lenke)
• Christoph Trattner (2019). Online Food Recommendations: A Complex Problem?. (ekstern lenke)
• Dominik Kowald; Paul Seitlinger; Simone Kopeinik et al. (2015). Forgetting the words but remembering the meaning: Modeling forgetting in a verbal and semantic tag recommender. (ekstern lenke)
• Cecilia Di Sciascio; Peter Brusilovsky; Christoph Trattner et al. (2019). A Roadmap to User-Controllable Social Exploratory Search. (ekstern lenke)
• Qing Zhang; David Elsweiler; Christoph Trattner (2025). Decoding Global Palates: Unveiling Cross-Cultural Flavor Preferences Through Online Recipes. (ekstern lenke)
• Ayoub el Majjodi; Sohail Ahmed Khan; Alain Dominique Starke et al. (2024). Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. (ekstern lenke)
• Alain Dominique Starke; Jutta Dierkes; Gülen Arslan Lied et al. (2025). Supporting healthier food choices through AI-tailored advice: A research agenda. (ekstern lenke)
• David Elsweiler; Bernd Ludwig; Alan Said et al. (2018). Proceedings of the 3rd International Workshop on Health Recommender Systems (HealthRecSys’18) co-located with the 12th ACM Conference on Recommender Systems (ACM RecSys 2018). (ekstern lenke)
• Jefferson Caldeira; Ricardo M. Oliveira; Leandro Balby Marinho et al. (2018). Healthy Menus Recommendation: Optimizing the Use of the Pantry. (ekstern lenke)
• Christoph Trattner; David Elsweiler (2019). What online data say about eating habits. (ekstern lenke)
• Denis Parra; Christoph Trattner; Diego Gomez et al. (2016). Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences. (ekstern lenke)
• Veronika Bogina; Tsvi Kuflik; Dietmar Jannach et al. (2022). Considering temporal aspects in recommender systems: a survey. (ekstern lenke)
• Arngeir Berge; Vegard Velle Sjøen; Alain Starke et al. (2021). Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. (ekstern lenke)
• Andreas Lothe Opdahl; Bjørnar Tessem; Duc Tien Dang Nguyen et al. (2023). Trustworthy journalism through AI. (ekstern lenke)
• Lukas Eberhard; Christoph Trattner; Martin Atzmueller (2018). Predicting trading interactions in an online marketplace through location-based and online social networks. (ekstern lenke)
• Belgin Mutlu; Eduardo Veas; Christoph Trattner (2016). VizRec: Recommending personalized visualizations. (ekstern lenke)
• David E. Losada; David Elsweiler; Morgan Harvey et al. (2021). A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies. (ekstern lenke)
• Pablo Messina; Vicente Dominguez; Denis Parra et al. (2018). Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. (ekstern lenke)
• Dominik Kowald; Simone Kopeinik; Paul Seitlinger et al. (2015). Refining frequency-based tag reuse predictions by means of time and semantic context. (ekstern lenke)
• Christoph Trattner; Dietmar Jannach; Enrico Motta et al. (2021). Responsible media technology and AI: challenges and research directions. (ekstern lenke)

Konferanseforedrag

• Arngeir Berge; Christoph Trattner; Frode Guribye et al. (2026). 5 bruksområde for KI i telefontriage. (ekstern lenke)
• Christoph Trattner (2022). MediaFutures: Research Centre for Responsible Media Technology & Innovation. (ekstern lenke)
• Christoph Trattner (2022). Research Centre for Responsible Media Technology & Innovation. (ekstern lenke)
• Christoph Trattner (2022). Research Centre for Responsible Media Technology & Innovation. (ekstern lenke)
• Christoph Trattner (2022). Research Centre for Responsible Media Technology & Innovation. (ekstern lenke)
• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2023). Klinisk vurdering støtta av kunstig intelligens. (ekstern lenke)
• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2023). Designing for Control in Nurse-AI Collaboration During Emergency Medical Calls. (ekstern lenke)
• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2023). Human-Driven Clinical Assessments: Telephone Triage Supported by Artificial Intelligence. (ekstern lenke)
• Marc Gallofré Ocaña; Lars Nyre; Andreas Lothe Opdahl et al. (2018). Towards a Big Data Platform for News Angles. (ekstern lenke)

Vitenskapelig bokkapittel

• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2025). The role of GPT as an adaptive technology in climate change journalism. (ekstern lenke)
• David Elsweiler; Hanna Hauptmann; Christoph Trattner (2022). Food recommender systems. (ekstern lenke)
• Tord Kvifte; Mehdi Elahi; Christoph Trattner (2022). Hybrid Recommendation of Movies based on Deep Content Features. (ekstern lenke)
• Giovanni Castiglia; Ayoub el Majjodi; Federica Calò et al. (2022). Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. (ekstern lenke)
• Khadiga Mahmoud Abdalla Seddik; Erik Knudsen; Damian Trilling et al. (2023). Understanding How News Recommender Systems Influence Selective Exposure. (ekstern lenke)
• Alain Dominique Starke; Christoph Trattner (2021). Promoting Healthy Food Choices Online: A Case for Multi-List Recommender Systems. (ekstern lenke)
• Cataldo Musto; Alain Dominique Starke; Christoph Trattner et al. (2021). Exploring the effects of natural language justifications on food recommender systems. (ekstern lenke)
• Arngeir Berge; Vegard Velle Sjøen; Alain Dominique Starke et al. (2021). Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. (ekstern lenke)
• Tomasz Kusmierczyk; Christoph Trattner; Kjetil Nørvåg (2015). Temporal Patterns in Online Food Innovation. (ekstern lenke)
• Alain Dominique Starke; Christoph Trattner; Hedda Bakken et al. (2021). The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. (ekstern lenke)
• Alain Dominique Starke; Sebastian Øverhaug Larsen; Christoph Trattner (2021). Predicting Feature-based Similarity in the News Domain Using Human Judgments. (ekstern lenke)
• Christoph Trattner; Alan Said; Ludovico Boratto et al. (2018). Evaluating Group Recommender Systems. (ekstern lenke)
• Alain Dominique Starke; Edis Asotic; Christoph Trattner (2021). “Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface. (ekstern lenke)
• Amon Rapp; Federica Cena; Christoph Trattner et al. (2023). BehavRec: Workshop on Recommendations for Behavior Change. (ekstern lenke)
• Christoph Trattner; Markus Rocicki; Eelco Herder (2018). The impact of recipe features, social cues and demographics on estimating the healthiness of online recipes. (ekstern lenke)
• Farshad Bakhshandegan Moghaddam; Mehdi Elahi; Reza Hosseini et al. (2019). Predicting Movie Popularity and Ratings with Visual Features. (ekstern lenke)
• Mohammad Hossein Rimaz; Mehdi Elahi; Farshad Bakhshandegan Moghaddam et al. (2019). Exploring the Power of Visual Features for the Recommendation of Movies. (ekstern lenke)
• David Elsweiler; Bernd Ludwig; Alan Said et al. (2019). Fourth international workshop on health recommender systems (HealthRecSys 2019). (ekstern lenke)
• Qing Zhang; Christoph Trattner; David Elweiler et al. (2019). Understanding Cross-Cultural Visual Food Tastes with Online Recipe Platforms. (ekstern lenke)
• Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach et al. (2023). Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. (ekstern lenke)
• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2024). Emotional Reframing of Economic News using a Large Language Model. (ekstern lenke)
• Daniel Rosnes; Alain Dominique Starke; Christoph Trattner (2024). Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics. (ekstern lenke)
• Alain Dominique Starke; Anders Sandvik Bremnes; Erik Knudsen et al. (2024). Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems. (ekstern lenke)
• Martin Atzmueller; Alvin Chin; Christoph Trattner (2018). International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization.. (ekstern lenke)
• Cataldo Musto; Christoph Trattner; Alain Starke et al. (2020). Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. (ekstern lenke)
• Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini et al. (2021). Recommending Videos in Cold Start With Automatic Visual Tags. (ekstern lenke)
• Christoph Trattner; Vanessa Murdock; Steven Chang (2018). ACM recsys'18 late-breaking results (posters). (ekstern lenke)
• Mehdi Elahi; Reza Hosseini; Mohammad H. Rimaz et al. (2020). Visually-Aware Video Recommendation in the Cold Start. (ekstern lenke)
• Ayoub El Majjodi; Mehdi Elahi; Nabil El Ioini et al. (2020). Towards Generating Personalized Country Recommendation. (ekstern lenke)
• Alain Dominique Starke; Ayoub el Majjodi; Christoph Trattner (2022). Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. (ekstern lenke)
• Tomasz Kusmierczyk; Christoph Trattner; Kjetil Nørvåg (2016). Understanding and Predicting Online Food Recipe Production Patterns. (ekstern lenke)
• Ayoub el Majjodi; Alain Dominique Starke; Christoph Trattner (2022). Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System. (ekstern lenke)
• Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach et al. (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.. (ekstern lenke)
• Ayoub el Majjodi; Alain Dominique Starke; Mehdi Elahi et al. (2023). The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. (ekstern lenke)
• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2023). Designing for Control in Nurse-AI Collaboration During Emergency Medical Calls. (ekstern lenke)
• Jia-Hua Jeng; Alain Dominique Starke; Christoph Trattner (2023). Towards Attitudinal Change in News Recommender Systems: A Pilot Study on Climate Change. (ekstern lenke)

Konferanseposter

• Khadiga Mahmoud Abdalla Seddik; Anders Sandvik Bremnes; Damian Trilling et al. (2024). Enhancing News Recommendation with Headline Style Customization Using ChatGPT. (ekstern lenke)
• Khadiga Mahmoud Abdalla Seddik; Anders Sandvik Bremnes; Damian Trilling et al. (2024). How Headline Styles Can Make You Click on Articles You Disagree With. (ekstern lenke)
• Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini et al. (2021). Enhanced Movie Recommendation Incorporating Visual Features. (ekstern lenke)

Antologi

• Duc Tien Dang Nguyen; Cathal Gurrin; Martha Larson et al. (2023). MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II. (ekstern lenke)
• Anastasiia Klimashevskaia; Mehdi Elahi; Christoph Trattner (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. (ekstern lenke)
• Martin Atzmueller; Alvin Chin; Florian Lemmerich et al. (2019). Behavioral Analytics in Social and Ubiquitous Environments. (ekstern lenke)
• Alan Said; Hanna Schäfer; Helma Torkamaan et al. (2020). Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020). (ekstern lenke)

Vitenskapelig litteraturgjennomgang

• Anastasiia Klimashevskaia; Dietmar Jannach; Mehdi Elahi et al. (2024). A survey on popularity bias in recommender systems. (ekstern lenke)
• Thi NgocTrang Tran; Alexander Felfernig; Christoph Trattner et al. (2020). Recommender systems in the healthcare domain: state-of-the-art and research issues. (ekstern lenke)
• Mehdi Elahi; Dietmar Jannach; Lars Skjærven et al. (2021). Towards Responsible Media Recommendation. (ekstern lenke)
• Ayoub el Majjodi; Alain Dominique Starke; Christoph Trattner (2025). Integrating Digital Food Nudges and Recommender Systems: Current Status and Future Directions. (ekstern lenke)

Kapittel i fagbok

• Bilal Mahmood; Mehdi Elahi; Samia Touileb et al. (2024). Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. (ekstern lenke)
• Christoph Trattner; David Elweiler (2018). Food Recommendations. (ekstern lenke)

Forelesning

• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2023). Teaser Movie on Nurse-AI Collaboration Paper. (ekstern lenke)
• Arngeir Berge; Frode Guribye; Siri-Linn Schmidt Fotland et al. (2024). Video Poster: Nurse-AI Collaboration During Emergency Medical Calls. (ekstern lenke)

Lederartikkel

• Hanna Hauptman; Christoph Trattner; Helma Torkamaan (2024). HealthRecSys 2024 Health Recommender Systems 2024. (ekstern lenke)
• Martin Atzmueller; Christoph Trattner; Alvin Chin (2019). International workshop on modeling social media (MSM'2019) chairs' welcome. (ekstern lenke)
• Christoph Trattner; Denis Parra; Nathalie Henry Riche (2019). Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces. (ekstern lenke)
• David Elsweiler; Bernd Ludwig; Hanna Schäfer et al. (2019). Proceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019). (ekstern lenke)
• Martin Atzmueller; Alvin Chin; Christoph Scholz et al. (2015). Mining, modeling, and recommending ‘things’ in social media. (ekstern lenke)

Leksikonartikkel

• Christoph Trattner; Denis Helic; Markus Strohmaier (2018). Tag Clouds. (ekstern lenke)

Se en fullstendig oversikt over publikasjoner i NVA.

For more recent updates see my website at: https://www.christophtrattner.com/publications.html 

International Journal Articles (peer-reviewed)

1. A Survey on Popularity Bias in Recommender Systems. Klimashevskaia, A., Jannach, D., Elahi, M. and Trattner, C. UMUAI, 2024. PDF NEW!
2. Leveraging Professional Ethics for Responsible AI: Applying AI techniques to journalism. Diakopoulos, N., Trattner, C., Jannach, D., Costera Meijer, I. and Motta, E. Communcations of the ACM, 2024. PDF NEW!
3. "Tell Me Why": Using Natural Language Justifications in a Recipe Recommender System to Support Healthier Food Choices. Starke, A. D., Cataldo, M., Rapp, A., Semeraro, G. & Trattner, C. UMUAI, 2023. PDF NEW!
4. Understanding and predicting cross-cultural food preferences with online recipe images. Zhang, Q., Elsweiler, D. & Trattner, C. Information Processing & Management, 2023. PDF NEW!
5. Healthiness and environmental impact of dinner recipes vary widely across developed countries. Angelsen, A., Starke, A. D. & Trattner, C. Nature Food, 2023. PDF
6. Trustworthy journalism through AI. Opdahl, L. A., Tessem, B., Dang-Nguyen, D., Motta, E., Setty, V., Throndsen, E., Tverberg, A., Trattner, C. Data & Knowledge Engineering, 2023. PDF
7. Examining the User Evaluation of Multi-list Recommender Interfaces in the Context of Healthy Recipe Choices. Starke, A., Asotic, E., Trattner, C. Van Loo, E. ACM Transactions on Recommender Systems, 2023. PDF
8. Visual User-Generated Content Verification in Journalism: An Overview. Khan, S. Sheiki, G., Opdahl, L. A., Rabbi, F., Stoppel, S., Trattner, C., Dang-Nguyen, D. IEEE Access, 2023. PDF
9. Research directions in recommender systems for health and well-being. Hauptmann, H., Said, A., Trattner, C. 2022, UMUAI, 2022. PDF
10. Considering Temporal Aspects in Recommender Systems: A Survey. Bogina, V., Kuflik, T., Jannach, D., Bielikova, M., Kompan, M. and Trattner, C., UMUAI, 2022. PDF
11. Developing and Evaluating a University Recommender System. Elahi, M., Starke, A. D., El Ioini, N., Lambrix, A. A., & Trattner, C., Frontiers in Artificial Intelligence, 2022. PDF
12. Responsible media technology and AI: challenges and research directions. Trattner, C., Jannach, D., Motta, E., Costera Meijer, I., Diakopoulos, N., Elahi, M., Opdahl, A. L. Tessem, B., Borch, N., Fjeld, M., Øvrelid, L., De Smedt, K. and Moe, H. AI & Ethics, Springer Nature. 2021. PDF
13. Towards Responsible Media Recommendation. Elahi, M., Jannach, D., Skjærven, L., Knudsen, E., Sjøvaag, H., Tolonen, K., Holmstad, Ø., Pipkin, I., Throndsen, E., Stenbom, A., Fiskerud, E., Oesch, A., Vredenberg, L. and Trattner, C. AI & Ethics, Springer Nature. 2021. PDF
14. A day at the races: using best arm identification algorithms to reduce the cost of information retrieval user studies. Losada, D., Elsweiler, D., Harvey, M. and Trattner, C. Applied Intelligence. 2021. PDF
15. Nudging Health Choices in Food Search Through Visual Attractiveness. Starke, A.D., Willemsen, M.C. and Trattner, C. Frontiers in Artificial Intelligence. 2021. PDF
16. Using Natural Language Processing and Artificial Intelligence to explore the nutrition and sustainability of recipes and food. Van Erp, M., Reynolds, C., Maynard, D., Starke, A., Ibáñez Martín, R., Andres, F., Leite, M.C.A., Alvarez de Toledo, D., Schmidt Rivera, X., Trattner, C. and Brewer, S. Frontiers in Artificial Intelligence. 2021 PDF
17. Recommender Systems in the Healthcare Domain: State-of-the-Art and Research Issues. Tran, T.N.T, Felfernig, A., Trattner, C. and Holzinger, A. Journal of Intelligent Information Systems. 2020. [Thomson Reuters IF: 1.8] PDF
18. Visual Cultural Biases in Food Classification. Zhang, Q., Elsweiler,D. and Trattner, C. Foods. 2020. [Thomson Reuters IF: 3.1] PDF
19. Learning to Recommend Similar Items from Human Judgements. Trattner, C. and Jannach, D. User Modeling and User-Adapted Interaction Journal. 2019. [Thomson Reuters IF: 3.4] PDF DATA
20. What online data say about eating habits. Trattner, C. and Elsweiler, D. NATURE Sustainability, 2019. PDF
21. Investigating and Predicting Online Food Recipe Upload Behavior. Trattner, C., Kusmierczyk, T. and Norvag, K. Information Processing and Management. 2019. [Thomson Reuters IF: 3.444] PDF
22. The Roadmap to User-Controllable Social Exploratory Search. di Sciascio, C., Brusilovsky, P., Trattner, C. and Veas, E. ACM Transactions on Interactive Intelligent Systems. 2019. [Scopus SJR: 0.69 - Q1 in Human Computer Interaction] PDF
23. Tag-Based Information Access in Image Collections: Insights from Log and Eye-Gaze Analyses. Lin, Y., Parra, D., Trattner, C. and Brusilovsky, P. Knowledge and Information Systems. 2019. [Thomson Reuters IF: 2.247] PDF
24. Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. Messina, P., Dominguez, V., Parra, D., Trattner, C. and Soto, A. User Modeling and User-Adapted Interaction Journal. 2018. [Thomson Reuters IF: 2.808] PDF
25. Predicting Trading Interactions in an Online Marketplace through Location-Based and Online Social Networks. Eberhard, L., Trattner, C. and Atzmueller, M. Information Retrieval Journal, 2018. [Thomson Reuters IF: 1.488] PDF
26. On the Predictability of the Popularity of Online Recipes. Trattner, C., Moesslang, D. and Elsweiler, D. EPJ Data Science, 2018. [Thomson Reuters IF: 2.982] PDF
27. Investigating the utility of the weather context for point of interest recommendations. Trattner, C., Oberegger, A., Marinho, L. and Parra, D. Information Technology & Tourism, 2018. [Scopus SJR: 0.54 - Q1 Computer Science] PDF
28. Monitoring obesity prevalence in the United States through bookmarking activities in online food portals. Trattner, C., Parra, D. and Elsweiler, D. PLOS ONE 12(6), 2017. [Thomson Reuters IF: 2.766] PDF
29. Estimating the Healthiness of Internet Recipes: A Cross-Sectional Study. Trattner, C. Elsweiler, D. and Simon, H. Frontiers in Public Health, 2017. [Thomson Reuters IF: 2.031, Scopus SJR: 0.77 - Q2 in Public Health] PDF
30. VizRec: Recommending Personalized Visualizations. Mutlu, B., Veas, E. and Trattner, C. ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 6, Issue 4, 2016. [Scopus SJR: 0.69 - Q1 in HCI] PDF
31. Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. Trattner, C., Kowald, D., Seitlinger, P., Kopeinik, S. and Ley, T. The Journal of Web Science (JWS), Volume 2, Issue 1, 2016. PDF
32. Twitter in Academic Events: A Study of Temporal Usage, Communication, Sentimental and Topical Patterns in 16 Computer Science Conferences. Parra, D., Trattner, C., Gómez, D., Hurtado, M., Wen, X., & Lin, Y. R. Computer Communications Journal (COMCOM), Volume 73, Part B, 2016. [Thomson Reuters IF: 2.613] PDF
33. The Impact of Image Descriptions on User Tagging Behavior: A Study of the Nature and Functionality of Crowdsourced Tags. Lin, Y., Trattner, C., Brusilovsky, P. and He, D. Journal of the American Society for Information Science and Technology (JASIST), 2015. [Thomson Reuters IF: 2.835] PDF
34. Detecting Partnership in Online and Location-based Social Networks. Trattner, C. and Steurer, M. Social Network Analysis and Mining (SNAM), Volume 5, Issue 32, 2015. [Scopus SJR: 0.33 - Q1 in Media Technology] PDF
35. Scaling informal learning at the workplace: a model and four designs from a large-scale design-based research effort. Ley, T., Cook, J., Dennerlein, S., Kravcik, M., Kunzmann, C., Pata, K., Purma, J., Sandars, J., Santos, P., Schmidt, A., Al-Smadi, M. and Trattner, C. British Journal of Educational Technology (BJET), Volume 45, Issue 6, 2014. [Thomson Reuters IF: 2.729] PDF
36. Social Stream Marketing on Facebook: A Case Study. Trattner, C., Kappe, F. International Journal of Social and Humanistic Computing, Volume 2, Issue 1, 2013. PDF
37. Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails. Trattner, C. Journal of Computing and Information Technology, Volume 19, Issue 3, 2011. PDF
38. On the Construction of Efficiently Navigable Tag Clouds Using Knowledge From Structured Web Content. Trattner, C., Helic, D. and Strohmaier, M. Journal of Universal Computer Science, Volume 17, Issue 4, 2011. [Thomson Reuters IF: 1.066] PDF
39. Linking Related Content in Web Encyclopedias with search query tag clouds. Trattner, C. International Journal on WWW/Internet, Volume 9, Issue 2, 2011. PDF
40. Are Tag Clouds Useful for Navigation? A Network-Theoretic Analysis. Helic, D., Trattner, C., Strohmaier, M. and Andrews, K. Journal of Social Computing and Cyber-Physical Systems, Volume 1, Issue 1, 2011. PDF

International Conference Papers (peer-reviewed)

1. Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics. Rosnes, D. Starke, A. & Trattner, C. ACM UMAP 2024, 2024. PDF NEW!
2. Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. Mahmood, B. Elahi, M., Touileb, S., Steskal, L. & Trattner, C. ACM UMAP 2024 LBR, 2024. PDF NEW!
3. Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. Klimashevskaia, A., Elahi, M., Jannach, D., Sjærven, L., Tessem, A. & Trattner, C. ACM Recsys 2023 LBR, 2023. PDF NEW!
4. Designing for Control in Nurse-AI Collaboration During Emergency Medical Calls. Berge, A., Guribye, F., Schmidt Fotland, S., Fonnes, G., Hjulstad Johansen, I., Trattner, C. ACM DIS 2023. Best Paper Award Honorable Mention PDF NEW!
5. Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. Klimashevskaia, A., Elahi, M., Trattner, C. ACM UMAP 2023. PDF
6. Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System. El Majjodi, A., Starke, A. & Trattner, C., ACM UMAP, 2022. PDF
7. Serving Each User: Supporting Different Eating Goals Through a Multi-List Recommender Interface. Starke, A., Asotic, E. and Trattner, C. 15th ACM Conference on Recommender Systems (RecSys'21). 2021. PDF
8. Videos in Cold Start with Automatic Visual Tags Elahi, M., Moghaddam, F., Hoseini, R., Rimaz, M., Ioini, N.E., Tkalcic, M., Trattner, C. and Tillo, T. 29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21). 2021. PDF DATA
9. Exploring the Effects of Natural Language Justifications on Food Recommender Systems. Musto, C., Starke, A., Trattner, C., Rapp, A. and Semeraro, G. 29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21). 2021. PDF
10. Exploring Multi-List User Interfaces for Similar-Item Recommendations. Jannach, D., Jesse, M., Jugovac, M. and Trattner, C. 29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21). 2021. PDF
11. Visually-Aware Video Recommendation in the Cold Start . Elahi, M., Hosseini, R., Rimaz, M.H., Bakhshandegan Moghaddam, F., and Trattner, C., Proccedings of the ACM Hypertext 2020 (HT'20). PDF
12. Towards Generating Personalized Country Recommendation. EL Majjodi, A., Elahi, M., EL Ioini, N. and Trattner, C. In Adjunct Proceedings of the 28th Conference on User Modeling, Adaptation and Personalization (UMAP'20). PDF
13. Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. Musto, C., Trattner C., Starke, A. and Semeraro, G. In Proceedings of ACM UMAP, 2020. PDF
14. Identifying Cross-Cultural Visual Food Tastes with Online Recipe Platforms. Zhang, Q., Trattner, C., Elsweiler, D. and Ludwig, B. In Proceedings of the 11th International AAAI conference on Web and Social Media (ICWSM), 2019. [acceptance rate: 19%] PDF
15. Exploring the Power of Visual Features for Recommendation of Movies. Rimaz H., M., Elahi, M., Moghadam B., F., Trattner, C., Hosseini, R. and Tkalčič, M. In Proceedings of the ACM Conference on User Modeling and Personalisation (UMAP), 2019. [acceptance rate: 24%] PDF
16. The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes. Rocicki, M.*, Trattner, C.* and Herder, E. (* equal contribution). In Proceedings of the 12th International AAAI conference on Web and Social Media (ICWSM), 2018. [acceptance rate: 16%] PDF
17. How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation. Rocicki, M., Herder, E. and Trattner, C. In Proceedings of the 11th International AAAI conference on Web and Social Media (ICWSM), 2017. [acceptance rate: 14%] PDF
18. On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems. Trattner, C., Rocicki, M. and Herder, E.. In Proceedings of the ACM Conference on User Modeling and Personalisation (UMAP), 2017. [acceptance rate: 27%] PDF
19. Exploiting Food Choice Biases for Healthier Recipe Recommendation. Elsweiler, D.*, Trattner, C.* and Harvey, M. (* equal contribution). In Proceedings of the ACM SIGIR Conference (SIGIR), 2017. [acceptance rate: 22%] PDF
20. Towards Health (Aware) Recommender Systems. Schaefer, H., Hors-Fraile, S. Karumur, R., Calero Valdez, A., Torkamaan, H., Ulmer, T., Said, A. and C. Trattner. In Proceedings of the ACM Digital Health Conference (DH), 2017. PDF
21. Tags, Titles or Q&As? Choosing Content Descriptors for Visual Recommender Systems. Mutlu, B., Veas, E. and Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2017. [acceptance rate: 28%] PDF
22. Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems. Trattner, C. and Elsweiler, D. In Proceedings of the World Wide Web Conference (WWW), 2017. [acceptance rate: 17%] Best Paper Award Honorable Mention PDF
23. Plate and Prejudice: Gender Differences in Online Cooking. Rocicki, M., Herder, E., Kusmierczyk, T. and Trattner, C. In Proceedings of the International Conference on User Modeling and Personalisation (UMAP), 2016. [acceptance rate: 24%] PDF
24. Understanding and Predicting Online Food Production Patterns. Kusmierczyk, T., Trattner, C. and Norvag, K. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2016. [acceptance rate: 30%] PDF
25. Using the Hybrid Social Learning Network to Explore Concepts, Practices, Designs and Smart Services for Networked Professional Learning. Cook, J., Ley T., Maier, R., Y., Santos, P., Lex, E., Dennerlein, S., Trattner, C. and Holley, D. In State-of-the-Art and Future Directions of Smart Learning, Springer. pp 123-129, 2015. PDF
26. Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?. Marinho, L., Trattner, C. and Parra, D. In Proceedings of the ACM Conference on Recommender Systems (RecSys), 2015. [acceptance rate: 21%] PDF
27. Language, Twitter and Academic Conferences. Garcia, R., Gomez, D., Parra, D., Trattner, C., Kaltenbrunner, A. and Graells-Garrido, E. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2015. PDF
28. Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging. Larrain, S., Trattner, C., Parra, D, Graells-Garrido, E. and Norvag, K. In Proceedings of the ACM Conference on Recommender Systems (RecSys), 2015. [acceptance rate: 21%] PDF
29. Towards a Recommender Engine for Personalized Visualizations. Mutlu, B., Veas, E., Trattner, C and Sabol, V. In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015. PDF
30. Temporality in Online Food Recipe Consumption and Production. Kusmierczyk, T., Trattner, C. and Norvag, K. In Proceedings of the International Conference on World Wide Web Companion (WWW) Companion, 2015. (Poster) PDF
31. VizRec: A Two-Stage Recommender System for Personalized Visualizations. Mutlu, B., Veas, E., Trattner, C. and Sabol, V. In Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI) Companion, 2015. PDF
32. Twitter in Academic Conferences: Usage, Networking and Participation over Time. Wen, X., Lin, Y., Trattner, C. and Parra, D. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014. PDF
33. TagRec: Towards A Standardized Tag Recommender Benchmarking Framework. Kowald, D., Lacic, E., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014. (Poster) Best Poster Award PDF
34. SocRecM: A Scalable Social Recommender Engine for Online Marketplaces. Lacic, E., Kowald, D., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014. (Poster) PDF
35. Who will Trade with Whom? Predicting Buyer-Seller Interactions in Online Trading Platforms through Social Networks. Trattner, C., Parra, D., Eberhard, L. and Wen, X. In Proceedings of the World Wide Web Conference (WWW) Companion, 2014. (Poster) PDF
36. How groups of people interact with each other on Twitter during academic conferences. Wen,X., Parra, D. and Trattner, C. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW) Companion, 2014. PDF
37. Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency. Kowald, D., Seitlinger, P., Trattner, C. and Ley, T. In Proceedings of the World Wide Web Conference (WWW) Companion, 2014. Among the Best Papers PDF
38. User Controllability in an Hybrid Talk Recommender System. Parra, D., Brusilovsky, P. and Trattner, C. In Proceedings of the ACM 2014 International Conference on Intelligent User Interfaces (IUI), 2014. PDF
39. Making sense of bits and pieces: A sensemaking tool for informal workplace learning. Dennerlein, S., Rella, M., Tomberg, V., Theiler, D., Treasure-Jones, T., Kerr, M., Ley, T., Al-Smadi, M., and Trattner, C. In Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL), 2014. PDF
40. Recommending Tags with a Model of Human Categorization. Seitinger, P., Kowald, D., Trattner, C. and Ley, T. In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2013. [acceptance rate: 17%] PDF
41. Acquaintance or Partner? Predicting Partnership in Online and Location-based Social Networks. Steurer, M. and Trattner, C. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2013. [acceptance rate: 13%] Among the Best Papers PDF
42. Predicting Social Interactions from Different Sources of Location-based Knowledge. Steurer, M., Trattner, C. and Helic, D. In Proceedings of the International Conference on Social Eco-Informatics (SOTICS), 2013. Best Paper Award PDF
43. Head Start: Improving Academic Literature Search with Overview Visualizations based on Readership Statistics. Kraker, P., Jack, K., Schloegl, C., Trattner, C. and Lindstaedt, S. In Proceedings of the ACM Web Science Conference (WebSci), 2013. (Poster) Best Poster Award PDF
44. The Social Semantic Server - A Framework to Provide Services on Social Semantic Network Data. Kowald, M., Dennerlein, S., Dieter, T., Walk, S. and Trattner, C. In Proceedings of the I-Semantics Conference, 2013. PDF
45. Exploring the Differences and Similarities of Hierarchical Decentralized Search and Human Navigation in Information-networks. Trattner, C., Singer, P., Helic, D. and Strohmaier, M. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2012. Best Paper Award PDF
46. Evaluating Tag-Based Information Access in Image Collections. Trattner, C., Lin, Y., Parra, D., Yue, Z., Brusilovsky, P. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2012. [acceptance rate: 28%] Best Paper Nomination PDF
47. Navigational efficiency of broad vs. narrow folksonomies. Helic, D., Körner, C., Granitzer, M., Strohmaier, M., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2012. [acceptance rate: 28%] PDF
48. Pragmatic Evaluation of Folksonomies. Helic, D., Strohmaier, M., Trattner, C., Muhr M. and Lermann, K. In Proceedings of the International conference on World Wide Web (WWW), 2011. [acceptance rate: 12%] PDF
49. Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists: A Comparative Study. Trattner, C. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2011. Young Scholar Best Paper Award PDF
50. Enhancing the Navigability of Social Tagging Systems with Tag Taxonomies. Trattner, C., Körner, C., Helic, D. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2011. PDF
51. Social Media Marketing with Facebook: A Case Study. Trattner, C., Kappe, F. In Proceedings of the International Conference on WWW/Internet, 2011.
52. NAVTAG - A Network-Theoretic Framework to Assess and Improve the Navigability of Tagging Systems. Trattner, C. In proceedings of the International Conference on Web Engineering (ICWE), 2011. (Poster) PDF
53. QUERYCLOUD: Automatically Linking Related Documents Via Search Query (Tag) Clouds. Trattner, C. In Proceedings of the International Conference WWW/Internet, 2010.
54. On the Navigability of Social Tagging Systems. Helic, D., Trattner, C., Strohmaier, M., Andrews, K. In Proceedings of the IEEE International Conference on Social Computing (SocialCom), 2010. [acceptance rate: 13%] Best Paper Nomination PDF
55. Improving Navigability of Hierarchically-Structured Encyclopedias through Effective Tag Cloud Construction. Trattner, C., Helic, D., Strohmaier, M. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2010.
56. Enriching Tagging Systems with Google Query Tags. Trattner, C., Helic, D., Maglajlic, S. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2010. PDF
57. Socializing Virtual Worlds with Facebook - A prototypical implementation of an expansion pack to communicate between Facebook and OpenSimulator based Virtual Worlds. Trattner, C., Steurer, M., Kappe, F. In Proceedings of the Academic MindTrek Conference (MindTrek), 2010. PDF
58. The Austrian way of Wiki(pedia)! - Development of a Structured Wiki-based Encyclopedia within a Local Austrian Context. Trattner, C., Hasani, I., Helic, D., Leitner, H. In Proceedings of the International Symposium on Wikis and Open Collaboration (Wikisym), 2010. PDF
59. Click, Click --- and an educational presentation is available on the Web. Trattner, C., Helic, D., Korica-Pehserl, P., Maurer, H. In Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-Media), 2010. PDF
60. Using Wiki for Rapid Authoring of Huge Numbers of E-Assessments. Hasani, I., Portsch C., Trattner, C., Kacjan, B., Helic, D., Maurer, H. In Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-Media), 2010. PDF
61. Social Networks and eLearning: New Model for Learning at Workplace. Maglajlic, S., Helic, D., Trattner, C. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2010. PDF
62. Linking Related Documents: Combining Tag Clouds and Search Queries. Trattner, C., Helic, D. In Proceedings of the 10th International Conference on Web Engineering, Springer (ICWE), 2010. PDF
63. Extending the Basic Tagging Model: Context Aware Tagging. Trattner, C., Helic, D. In Proceedings of the International Conference WWW/Internet, 2009. PDF

International Workshop Papers (peer-reviewed)

1. Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems. Starke, A., Sandvik, A., Knudsen, E., Trilling, D. & Trattner, C. ACM UMAP 2024 Workshops, 2024. PDF NEW!
2. Emotional Reframing of Economic News using a Large Language Model Conference. Jeng, J., Kasangu, G., Starke, A. & Trattner, C. ACM UMAP 2024 Workshops, 2024. PDF NEW!
3. The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. El Majjodi, A., Starke, A., Elahi, M. & Trattner, C., INTRS workshop at ACM RecSys 2023, 2023. PDF NEW!
4. Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway. Knudsen, E., Starke, A. & Trattner, C. INRA workshop at ACM RecSys 2023, 2023. PDF NEW!
5. Understanding How News Recommender Systems Influence Selective Exposure. Seddik, K., Knudsen, E., Trilling, D. & Trattner, C. BehavRec workshop at ACM RecSys 2023, 2023. PDF NEW!
6. Towards Attitudinal Change in News Recommender Systems: A Pilot Study on Climate Change. Jeng, H. J., Starke, A., Trattner, C. Persuasion AI workshop at Persuasive 2023, 2023. PDF NEW!
7. Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. Klimashevskaia, A., Elahi, M., Jannach, D., Trattner, C., Skjaerven, S. BIAS 2022: Advances in Bias and Fairness in Information Retrieval, Springer, Cham, 1610, 2022, S. 82 - 90. PDF
8. Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. Starke, A.,el Majjodi, A., Trattner, C. INTRS Workshop held at ACM RecSys'22. 2022. PDF
9. Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. Castiglia, G., El Majjodi, A., Calò, F., Deldjoo, Y., Narducci, L, Starke, A., Trattner, C. KARS workshop held at ACM RecSys'22. 2022. PDF
10. Hybrid Recommendation of Movies based on Deep Content Features. Kvifte, T., Elahi, M., Trattner, C. ICSOC 2021 Workshops. 2022. PDF
11. Predicting Feature-based Similarity in the News Domain Using Human Judgments. Starke, A., Øverhaug L. and Trattner, C. 9th International Workshop on News Recommendation and Analytics (INRA 2021) held at RecSys'21. 2021. PDF
12. The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Starke, A., Trattner, C., Bakken, H., Johannessen, M. and Solberg, V. Workshop on Multi-Objective Recommender Systems (MORS) held at RecSys'21. PDF
13. Promoting Healthy Food Choices Online: A Case for Multi-list Recommender Systems. Starke, A.D., & Trattner, C. In: HEALTHI’21: Joint Proceedings of ACM IUI 2021 Workshops. 2021. PDF
14. Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. Berge, A., Velle Sjøen, V., Starke, A.D., & Trattner, C. In: HEALTHI’21: Joint Proceedings of ACM IUI 2021 Workshops. 2021. PDF
15. An Evaluation of Recommendation Algorithms for Online Recipe Portals. Trattner, C. and Elsweiler, D. In Proceedings of the HealthRecSys workshop co-located with ACM RecSys, 2019. PDF
16. Predicting Movie Popularity and Ratings with Visual Features. Moghaddam, F. B., Elahi, M., Hosseini, R., Trattner, C. and Tkalcic, M. In Proceedings of the SMAP workshop co-located with ACM UMAP. 2019. PDF
17. Healthy Menus Recommendation: Optimizing the Use of the Pantry. Emanuel, J., Oliveira, R., Marinho, L. and Trattner, C. In Proceedings of the HealthRecSys workshop co-located with ACM RecSys, 2018. PDF
18. Towards Explanations for Visual Recommender Systems of Artistic Images. Dominguez, V., Messina, P., Trattner, C. and Parra, D. In Proceedings of the INTRS workshop co-located with ACM RecSys, 2018. PDF
19. TCNSVD: A Temporal and Community-Aware Recommender Approach. Shahriari, M., Barth, M., Klamma, R. and Trattner, C. In Proceedings of the Temporal RecSys workshop held at ACM RecSys, 2017. PDF
20. Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. Dominguez, V., Messina, P., Parra, D., Mery, D., Trattner, C. and Soto, A. In Proceedings of the Deep Learning RecSys workshop held at ACM RecSys, 2017. PDF
21. Understanding the Impact of Weather for POI Recommendations. Trattner, C., Oberegger, A., Eberhard, L., Parra, D. and Marinho, L. In Proceedings of the ACM RecSys Workshop on Recommenders in Tourism (RecTour), 2016. PDF
22. Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information. Eberhard, L. and Trattner, C. In Proceedings of the International Workshop on Modeling Social Media (MSM'16) held at ACM World Wide Web Conference (WWW'16), 2016. PDF
23. Temporal Patterns in Online Food Innovation. Kusmierczyk, T., Trattner, C and Norvag, K. In Proceedings of the 5th Temporal Web Analytics Workshop (TempWeb'15) held at the ACM World Wide Web Conference (WWW'15), 2015. PDF
24. Recommending Items in Social Tagging Systems Using Tag and Time Information. Lacic, E., Kowald, D., Seitlinger, P., Trattner, C. and Parra, D. In Proceedings of the International Workshop on Social Personalisation co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2014. PDF
25. Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr. Lacic, E., Kowald, D., Parra, D., Kahr, M. and Trattner, C. In Proceedings of the 5th Social Recommender Workshop (SRS'14) held at the ACM Word Wide Web Conference (WWW'14) companion, 2014. PDF
26. Predicting Interactions In Online Social Networks: An Experiment in Second Life.Steurer, M. and Trattner, C. In Proceedings of the International Workshop on Modeling Social Media co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2013. PDF
27. Success Factors of Events in Virtual Worlds: A Case Study in Second Life. Steurer, M., Trattner, C. and Kappe, F. Success Factors of Events in Virtual Worlds A Case Study in Second Life. In Proceedings of the 11th Annual Workshop on Network and Systems Support for Games (NetGames'12), 2012. PDF
28. Creating Dynamic Wiki Pages with Section-Tagging.Helic, D., Us Saeed, A., Trattner, C. In Proceedings of the International Workshop on New Forms of Xanalogical Storage and Function co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2009. PDF

Book Chapters (peer-reviewed)

1. Food Recommender Systems. Elsweiler, D., Hauptmann, H. & Trattner, C., Recommender Systems Handbook, 2022. PDF
2. Food Recommender Systems: Important Contributions, Challenges and Future Research Directions. Trattner, C. and Elsweiler, D. Collaborative Recommendations: Algorithms, Practical Challenges and Applications, World Scientific Publishing Co. Pte. Ltd., 2018. PDF
3. Evaluating Group Recommender Systems. Trattner, C., Said, A., Boratto, L. and Felfernig, A. Group Recommender Systems: An Introduction, Springer, 2018. PDF
4. Tag Clouds v2. Trattner, C., Helic, D., Strohmaier, M. Encyclopedia of Social Network Analysis and Mining, 2018. PDF
5. Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context. Kowald, D., Kopeinik, S., Seitlinger, P., Ley, T., Albert, D. and Trattner, C. Lecture Notes in Artificial Intelligence 8940, 2015. PDF
6. Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D. and Marinho, L. Lecture Notes in Artificial Intelligence 8940, 2015. PDF
7. Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender. Kowald, D., Seitlinger, P., Trattner, C. and Ley, T. Lecture Notes in Artificial Intelligence 8940, 2015. PDF
8. Tag Clouds. Trattner, C., Helic, D., Strohmaier, M. Encyclopedia of Social Network Analysis and Mining, 2014. PDF
9. Who will Interact with Whom? A Case-Study in Second Life using Online and Location-based Social Network Features to Predict Interactions between Users. Steurer, M. and Trattner, C. Lecture Notes in Artificial Intelligence, 2013. PDF

Books as Editor

1. Behavioral Analytics in Social and Ubiquitous Environments. Atzmueller, M., Chin, A., Lemmerich, F. and Trattner, C. (Eds.). Lecture Notes in Artificial Intelligence, Springer, 2020. PDF
2. Big Data Analytics in the Social and Ubiquitous Context. Atzmueller, M., Chin, A., Janssen, F., Schweizer, I. and Trattner, C. (Eds.). Lecture Notes in Artificial Intelligence, Springer, 2016. PDF
3. Mining, Modeling, and Recommendation in Ubiquitous Social Media. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). Lecture Notes in Artificial Intelligence, Springer, 2015. PDF

International Conference Proceedings & Workshops as Editor

1. Proceedings of the International Workshop on Behavior Change and Persuasive Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023). Rapp, A., Trattner, C., Vassileva, J., Cena, F., Orji, R., Starke, A. CEUR Workshop Proceedings 3544, CEUR-WS.org 2023. PDF
2. Proceedings (Part 1) of the MultiMedia Modeling - 29th International Conference, MMM 2023. Dang-Nguyen, D., Gurrin, C., Larson, M. A., Smeaton, A. F., Rudinac, S., Dao, M., Trattner, C., Chen, P. Lecture Notes in Computer Science 13833, Springer 2023. PDF
3. Proceedings (Part 2) of the MultiMedia Modeling - 29th International Conference, MMM 2023. Dang-Nguyen, D., Gurrin, C., Larson, M. A., Smeaton, A. F., Rudinac, S., Dao, M., Trattner, C., Chen, P. Lecture Notes in Computer Science 13833, Springer 2023. PDF
4. Proceedings of the 10th International Workshop on Modeling Social Media (MSM'19) at the 28th ACM World Wide Web (WWW'19) Conference. Atzmueller, M., Chin, A., Trattner, C. (Eds.). ACM, 2019.
5. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'19 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2019. PDF
6. Joint Proceedings of the ACM IUI 2019 Workshops. Trattner, C., Parra, D. and Riche, N. (Eds.). CEUR-WS, 2019. PDF
7. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'18 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2018. PDF
8. Proceedings of the Posters and Late-Breaking Results at the ACM RecSys'18 Conference. Trattner, C., Murdock, V., and Chang, S. (Eds.). ACM, 2018. PDF
9. Proceedings of the 9th International Workshop on Modeling Social Media (MSM'18) at the 27th ACM World Wide Web (WWW'18) Conference. Atzmueller, M., Chin, A., Trattner, C. (Eds.). ACM, 2018. PDF
10. Proceedings of the 8th International Workshop on Modeling Social Media (MSM'17) at the 26th ACM World Wide Web (WWW'17) Conference. Atzmueller, M., Chin, A., Trattner, C., Li, J. and Berkovsky, S. (Eds.). ACM, 2017. PDF
11. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'17 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2017. PDF
12. Proceedings of the 7th International Workshop on Modeling Social Media (MSM'16) at the 25th ACM World Wide Web (WWW'16) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2016. PDF
13. Proceedings of the Workshop Engendering Health with Recommender Systems at the ACM RecSys'16 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. Trattner, C. ACM, 2016. PDF
14. Proceedings of the International Workshop on Social Personalization and Search (SPS'15) at the ACM SIGIR 2015 Conference. Trattner, C., Parra, D., Brusilovsky, P. and Marinho, L. (Eds.). CEUR-WS, 2015. PDF
15. Proceedings of the 6th International Workshop on Modeling Social Media (MSM'15) at the 24th ACM World Wide Web (WWW'15) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2015. PDF
16. Hypertext 2014 Extended Proceedings: Late-breaking Results, Doctoral Consortium and Workshop Proceedings of the 25th ACM Hypertext and Social Media (HT'14) conference. Cena, F., da Silva, A. and Trattner, C. (Eds.). CEUR-WS, 2014. PDF
17. Proceedings of the 1st International Workshop on Social Personalization at the 25th ACM Hypertext and Social Media (HT'14) Conference. Brusilovsky, P., Marinho, L., Parra, D., Scheihing, E. and Trattner, C. (Eds.). CEUR-WS, 2014. PDF
18. Proceedings of the 5th International Workshop on Modeling Social Media (MSM'14) at the 23rd ACM World Wide Web (WWW'14) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM. 2014. PDF
19. Proceedings of the 1st International Workshop on UMAP Project Synergy at the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP'14). Dhakar, D., Brdiczka, O. and Trattner, C. (Eds.). CEUR-WS, 2014. PDF
20. Proceedings of the 4th International Workshop on Modeling Social Media at the 25th ACM Hypertext (HT'13) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2013. PDF

National Symposia/Conferences/Workshops (peer-reviewed)

1. Towards a Big Data Platform for News Angles. Ocana, M., Opdahl, A., Nyre, L., Tessem, B., Trattner, C. and Veres, C. In Proceedings of Norwegian Big Data Symposium (NOBIDS). 2018.

Newsletters

1. FOODWEB – Studying Food Consumption and Production Patterns on the Web.Trattner, C., Kusmierczyk, T., Norvag, K. ERCIM NEWS (104), 2016. PDF
2. Report on the SIGIR 2015 Workshop on Social Personalization and Search. Trattner, C., Parra, D., Brusilovsky, P. and Marinho, L. SIGIR Forum, Volume 49, Issue 2, 102-106, 2015. PDF
3. TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-Based Recommender Algorithms. Trattner, C., Kowald, D. and Lacic, E. ACM SIGWEB Newsletter, 2015. PDF
4. The 24th ACM Conference on Hypertext and Social Media (HT2013): A Personal Review. Trattner, C. ACM SIGWEB Newsletter, 2013. PDF

PhD & MSc Thesis

1. On the Navigability of Social Tagging Systems. Trattner, C. PhD Thesis, Graz University of Technology, Graz, Austria, 2012. [defended with honors]
2. From Austria-Forum to the Wiki Concept. Trattner, C. MSc Thesis, Graz University of Technology, Graz, Austria, 2009. [defended with honors]

For more recent updates see my website at: https://www.christophtrattner.com/impact.html 

• 2024: Agenda Vestland - Reynir: Combatting misinformation with joined forces. Amount: 10,000,000NOK (2 years) CO-PI.
• 2021: National Research Council Norway - The Double-edged Sword of News Recommenders’ Impact on Democracy (NEWSREC). Amount: 8,000,000NOK (4 years) CO-PI.
• 2020: National Research Council Norway - MediaFutures: Research Centre for Responsible Media Technology & Innovation. Amount: 26,000,000EUR (8 years) PI.
• 2020: Alpro Foundation - Communicating the environmental impact of plant based recipes. Amount: 49,000EUR (1 year) PI.
• 2020: National Research Council Norway - RE-AIMED: Readjusted responses by use of AI in medical calls. Amount: 15,975,000NOK (4 years) PI.
• 2019: European Union - Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science. Amount: 4,030,279EUR (4 years) Co-Investigator.
• 2018: National Research Council Norway - ITS for sustainable TRANSport: In-vehicle FEEDback on eco-driving and external costs. Amount: 6,700,000NOK (4 years) Co-Investigator.
• 2018: National Research Council Norway - Investigating the impact of Artificial Intelligence on the Journalism's Social Contract - Issues of Machine Ethics in Modern Journalism. Amount: 297,000NOK (1 year) Co-Investigator.
• 2017: Austrian Research Promotion Agency – EcoMove - Knowledge-based platform for predicting mobility bottlenecks and promoting sustainable behavioral change. Amount: 345,424EUR (2 years) Proposal Coordinator & Co-Investigator I was responsible for the coordination of the project proposal and for describing the WP dedicated to predictive modeling and recommender systems.
• 2017: European Union, ReTV - Enhancing and Repurposing TV Content. Amount: 3,100,000EUR (4 years), Co-Investigator I helped to shape the recommender systems and predictive modeling part of the proposal.
• 2015: European Union, AFEL - Analytics for Everyday Learning. Amount: 2,581,940EUR (4 years), PI I was re-sponsible for coordinating the project from the KC side and for describing the WPs dedicated to visual analytics and social network analysis.
• 2014: Austrian Research Promotion Agency – K1 Research Center Grant. Amount: 20,000,000EUR (8 years) Co-PI This grant proposal was written to extend the funding period (supported by the national science fund FFG) of the Know-Center for the next 8 years. I contributed significantly to this proposal by setting up a detailed strategic research & financial plan with according industry partners for the newly created research area social computing – one out of four research areas at the center.
• 2014: Austrian Research Promotion Agency – 6 COMET funded industry projects. Amount: ~500,000EUR (1 year) PI I co-acquired 6 scientific industry projects supported with grants by the national science fund (FFG) in the area of Social Computing; one of the project partners is one of the largest media companies in central Europe; an other one is an young German company winning the European start-up competition prize in Amsterdam.
• 2014: European Union - Marie Curie ERCIM – Alain Benssousan Fellowship. Amount: 50,000EUR (1 year) PI This proposal was written to conduct individual in-depth research on the problem of predictive modeling in big data with colleagues at NTNU in Norway. This research is supported by ERCIM - the European Research Consortium of Informatics and Mathematics – acceptance rate 19/186
• 2013: Austrian Research Promotion Agency – 3 COMET funded industry projects. Amount: ~250,000EUR (1 year) PI I co-acquired three industry projects supported with grants by the national science fund (FFG) in the area of Social Computing.
• 2012: Austrian Research Promotion Agency – Innovation Check Grant . Amount: 5,000EUR (1 year) PI This grant proposal was written to conduct in-depth research on the problem of social recommender systems on multi-dimensional data. The research was conducted together with an Austrian start-up with the goal to develop a prototypical social recommender system approach for a virtual marketplace.
• 2012: Marshall Plan - Visiting Scholar Fellowship. Amount: 7,500USD (5 months) PI This proposal was written to conduct individual in-depth research on the topic of efficient information access in social systems.
• 2011: Austrian Research Promotion Agency - Dissertation Fellowship. Amount: 100,000EUR (2 years) PI This proposal was written together with my PhD advisor Denis Helic to conduct individual in-depth research on the topic of tag-based information access in social systems. I contributed significantly to the ideas, the study planning, and the overall research plan.