My research is positioned in the Information Science research field and lies in the intersection of "Behavioral Data Analytics" and "Recommender Systems". Since 2009, I published over 120 scientific articles in top venues about my work and have acquired over 54 million Euros in funding on European and (inter) national level - 30 million as the PI. Examples of outlets where my work has been published includes NATURE Food, NATURE Sustainability, JASIST, EPJ Data Science, UMUAI, WWW, AAAI ICWSM or ACM SIGIR. I am also the winner of several Best Paper/Poster Awards and Nominations, including, the Best Paper Award Honorable Mention at the prestigious CORE A* ranked The Web Conference in 2017. 

• Goal: My longterm research goal is to (1) understand user behavior and to invent AI that is able to simulate and predict user behavior accurately and (2) to develop novel AI methods (algorithmically or from an HCI perspective) that are able to change and positivly infuence user behavior through, for example, recommender technology, to help people to implement a more healthy news or food diet.
   
• Approach: I would position my approach to research in the intersection of qualitative and quantitative research design with heavy theoretical underpinning from various fields e.g. economy, psychology, physics or medicine. As such I drive small to large-scale offline studies through e.g. empirical analysis or simulations, living lab studies or large-scale online experiments utilizing the wisdom of the crowd, to explore new patterns, to validate algorithms or models or to validate certain theoretically underpinned hypotheses or research questions.
   
• Application: In general my work has applications to many domains, but typically where a large number (potentially millions) of users directly or indirectly interact with each other, and where their collective cognitive output needs to be analyzed, modeled, predicted or changed.

Since June 2021, I am an appointed ACM Distinguished Speaker (one out of two in Norway)! I regularly act as a (senior) PC member on several top-tier - CORE A* ranked - conferences and co-organize or co-chair a number of workshops and conferences. Recent examples include ACM RecSys in 2018 - 2020 (as Workshop/Late-Breaking Results co-chair) and ACM SIGIR 2020 - 2021 (as senior PC). I am a former board member of Media City Bergen, Norway's largest Media Cluster, a board member of preforma, an amazing Norwegian health-tech start-up focused on health for women, an advisor to the company caneat, a fantastic food start-up, and a member of the editorial board of Elsevier's journal on Online Social Networks and Media, the Open Access Journal Future Internet, Frontiers in Big Data, Springer's Journal of Intelligent Information Systems, and Springer's AI and Ethics journal. 

Since 2009, I have taught over 2000 students in Austria and Norway, in over 35 courses on BSc, MSc, MBA and PhD level about ICT, and I supervised over 35 students on their Master or PhD thesis. 

I am currently not teaching any courses as I am exempt from teaching due to my role as centre director of Media Futures at UiB.

However, if you want to do a thesis under my supervision (PhD, MSc, BSc), please send me an email:  christoph.trattner@uib.no . There are several research topics I would like to give away to very good students!

Lecture

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

Academic anthology/Conference proceedings

• Jeng, Jia-Hua; Kasangu, Gloria Anne Babile; Starke, Alain Dominique et al. (2024). Emotional Reframing of Economic News using a Large Language Model. (external link)
• Dang Nguyen, Duc Tien; Gurrin, Cathal; Larson, Martha et al. (2023). MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II. (external link)
• Klimashevskaia, Anastasiia; Elahi, Mehdi; Trattner, Christoph (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. (external link)
• Said, Alan; Schäfer, Hanna; Torkamaan, Helma et al. (2020). Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020). (external link)
• Atzmueller, Martin; Chin, Alvin; Lemmerich, Florian et al. (2019). Behavioral Analytics in Social and Ubiquitous Environments. (external link)

Poster

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

Academic article

• Starke, Alain Dominique; Solberg, Vegard R.; Larsen, Sebastian Øverhaug et al. (2024). Examining the merits of feature-specific similarity functions in the news domain using human judgments. (external link)
• el Majjodi, Ayoub; Khan, Sohail Ahmed; Starke, Alain Dominique et al. (2024). Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. (external link)
• Khan, Sohail Ahmed; Sheikhi, Ghazaal; Opdahl, Andreas Lothe et al. (2023). Visual User-Generated Content Verification in Journalism: An Overview. (external link)
• Angelsen, Aslaug Linnea; Starke, Alain Dominique; Trattner, Christoph (2023). Healthiness and environmental impact of dinner recipes vary widely across developed countries. (external link)
• Zhang, Qing; Elsweiler, David; Trattner, Christoph (2023). Understanding and predicting cross-cultural food preferences with online recipe images. (external link)
• Knudsen, Erik; Starke, Alain Dominique; Trattner, Christoph (2023). Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway. (external link)
• Opdahl, Andreas Lothe; Tessem, Bjørnar; Dang Nguyen, Duc Tien et al. (2023). Trustworthy journalism through AI. (external link)
• Starke, Alain Dominique; Asotic, Edis; Trattner, Christoph et al. (2023). Examining the User Evaluation of Multi-list Recommender Interfaces in the Context of Healthy Recipe Choices. (external link)
• Starke, Alain Dominique; Musto, Cataldo; Rapp, Amon et al. (2023). “Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices. (external link)
• Bogina, Veronika; Kuflik, Tsvi; Jannach, Dietmar et al. (2022). Considering temporal aspects in recommender systems: a survey. (external link)
• Hautpmann, Hanna; Said, Alan; Trattner, Christoph (2022). Research directions in recommender systems for health and well-being: A Preface to the Special Issue. (external link)
• Elahi, Mehdi; Starke, Alain Dominique; El Ioini, Nabil et al. (2022). Developing and Evaluating a University Recommender System. (external link)
• Berge, Arngeir; Sjøen, Vegard Velle; Starke, Alain et al. (2021). Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. (external link)
• Trattner, Christoph; Jannach, Dietmar; Motta, Enrico et al. (2021). Responsible media technology and AI: challenges and research directions. (external link)
• Losada, David E.; Elsweiler, David; Harvey, Morgan et al. (2021). A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies. (external link)
• Starke, Alain D.; Willemsen, Martijn C.; Trattner, Christoph (2021). Nudging Healthy Choices in Food Search Through Visual Attractiveness. (external link)
• van Erp, Marieke; Reynolds, Christian; Maynard, Diana et al. (2021). Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food. (external link)
• Zhang, Qing; Elsweiler, David; Trattner, Christoph (2020). Visual cultural biases in food classification. (external link)
• Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe et al. (2019). Towards a Big Data Platform for News Angles. (external link)
• Trattner, Christoph; Kusmierczyk, Tomasz; Nørvåg, Kjetil (2019). Investigating and predicting online food recipe upload behavior. (external link)
• Trattner, Christoph; Elsweiler, David (2019). An evaluation of recommendation algorithms for online recipe portals. (external link)
• Trattner, Christoph; Jannach, Dietmar (2019). Learning to Recommend Similar Items from Human Judgements. (external link)
• Trattner, Christoph (2019). Online Food Recommendations: A Complex Problem?. (external link)
• Sciascio, Cecilia Di; Brusilovsky, Peter; Trattner, Christoph et al. (2019). A Roadmap to User-Controllable Social Exploratory Search. (external link)
• Lin, Yi-Ling; Parra, Denis; Trattner, Christoph et al. (2019). Tag-based information access in image collections: insights from log and eye-gaze analyses. (external link)
• Trattner, Christoph; Elsweiler, David (2019). What online data say about eating habits. (external link)
• Caldeira, Jefferson; Oliveira, Ricardo M.; Marinho, Leandro Balby et al. (2018). Healthy Menus Recommendation: Optimizing the Use of the Pantry. (external link)
• Dominguez, Vicente; Messina, Pablo; Trattner, Christoph et al. (2018). Towards explanations for visual recommender systems of artistic images. (external link)
• Trattner, Christoph; Oberegger, Alexander; Marinho, Leandro Balby et al. (2018). Investigating the Utility of the Weather Context for Point of Interest Recommendations. (external link)
• Elsweiler, David; Ludwig, Bernd; Said, Alan 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). (external link)
• Messina, Pablo; Dominguez, Vicente; Parra, Denis et al. (2018). Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. (external link)
• Trattner, Christoph; Moesslang, Dominik; Elsweiler, David (2018). On the predictability of the popularity of online recipes. (external link)
• Eberhard, Lukas; Trattner, Christoph; Atzmueller, Martin (2018). Predicting trading interactions in an online marketplace through location-based and online social networks. (external link)
• Parra, Denis; Trattner, Christoph; Gomez, Diego et al. (2016). Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences. (external link)
• Mutlu, Belgin; Veas, Eduardo; Trattner, Christoph (2016). VizRec: Recommending personalized visualizations. (external link)
• Trattner, Christoph; Steurer, Michael (2015). Detecting partnership in location-based and online social networks. (external link)
• Kowald, Dominik; Kopeinik, Simone; Seitlinger, Paul et al. (2015). Refining frequency-based tag reuse predictions by means of time and semantic context. (external link)
• Kowald, Dominik; Seitlinger, Paul; Kopeinik, Simone et al. (2015). Forgetting the words but remembering the meaning: Modeling forgetting in a verbal and semantic tag recommender. (external link)
• Lacic, Emanuel; Kowald, Dominik; Eberhard, Lukas et al. (2015). Utilizing online social network and location-based data to recommend products and categories in online marketplaces. (external link)

Academic literature review

• Klimashevskaia, Anastasiia; Jannach, Dietmar; Elahi, Mehdi et al. (2024). A survey on popularity bias in recommender systems. (external link)
• Elahi, Mehdi; Jannach, Dietmar; Skjærven, Lars et al. (2021). Towards Responsible Media Recommendation. (external link)
• Tran, Thi NgocTrang; Felfernig, Alexander; Trattner, Christoph et al. (2020). Recommender systems in the healthcare domain: state-of-the-art and research issues. (external link)

Academic chapter/article/Conference paper

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

Academic lecture

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

Editorial

• Atzmueller, Martin; Trattner, Christoph; Chin, Alvin (2019). International workshop on modeling social media (MSM'2019) chairs' welcome. (external link)
• Trattner, Christoph; Parra, Denis; Riche, Nathalie Henry (2019). Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces. (external link)
• Elsweiler, David; Ludwig, Bernd; Schäfer, Hanna 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). (external link)
• Atzmueller, Martin; Chin, Alvin; Scholz, Christoph et al. (2015). Mining, modeling, and recommending ‘things’ in social media. (external link)

Encyclopedia article

• Trattner, Christoph; Helic, Denis; Strohmaier, Markus (2018). Tag Clouds. (external link)

Chapter

• Trattner, Christoph; Elweiler, David (2018). Food Recommendations. (external link)

Other

• Larrain, Santiago; Trattner, Christoph; Parra, Denis et al. (2015). Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging. (external link)
• Kusmierczyk, Tomasz; Trattner, Christoph; Nørvåg, Kjetil (2015). Temporality in Online Food Recipe Consumption and Production. (external link)

See a complete overview of publications in Cristin.

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]

• 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.