Antologi

• Anastasiia Klimashevskaia; Mehdi Elahi; Christoph Trattner (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. (ekstern lenke)
• Himan Abdollahpouri; Mehdi Elahi (2021). MORS 2021: Multi-Objective Recommender Systems 2021. (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)

Konferanseposter

• Bilal Mahmood; Mehdi Elahi; Farhad Vadiee et al. (2024). A Supervised Machine Learning Approach for Supporting Editorial Article Selection. (ekstern lenke)
• Van Thanh Le; Nabil El Ioini; Claus Pahl et al. (2022). Capacity-Based Trust System in Untrusted MEC Environments. (ekstern lenke)
• Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury et al. (2021). Beyond Algorithmic Fairness in Recommender System. (ekstern lenke)
• Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini et al. (2021). Enhanced Movie Recommendation Incorporating Visual Features. (ekstern lenke)

Konferanserapport

• Lucien Heitz; Luca Rossetto; Benjamin Uwe Kille et al. (2025). NewsImages in MediaEval 2025 – Comparing Image Retrieval and Generation for News Articles. (ekstern lenke)

Lærebok

• Amin Beheshti; Samira Ghodratnama; Mehdi Elahi et al. (2022). Social Data Analytics. (ekstern lenke)

Masteroppgave

• Vanessa Marie Haaland; Mehdi Elahi; Igor Pipkin (2024). Personalized Advertisement Recommendations Using Implicit Feedback. (ekstern lenke)
• Mehdi Elahi; Lars Skjærven; Astrid Johnsen Tessem et al. (2024). Large-scale Evaluation of Context-Aware Recommender Systems in Media Domain. (ekstern lenke)
• Mehdi Elahi; Sebastian Cornelius Bergh; Lars Skjærven et al. (2023). Personalized Recommendations of Upcoming Sport Events. (ekstern lenke)
• Mehdi Elahi; Frank Rune Espeseth; Igor Pipkin (2023). Media Analytics for Personalization in Advertisement. (ekstern lenke)
• Mehdi Elahi; Peter Kolbeinsen Klingenberg; Thomas Husken (2023). Using content- and behavioural data for recommendations in the Norwegian news market. (ekstern lenke)
• Mehdi Elahi; David Kvasnes Olsen; Lars Skjærven (2022). Movie recommendation based on stylistic visual features.. (ekstern lenke)
• Mehdi Elahi; Øyvind Johannessen (2021). Novel Methods Using Human Emotion and Visual Features for Recommending Movies. (ekstern lenke)
• Mehdi Elahi; Tord Kvifte (2021). Video Recommendations Based on Visual Features Extracted with Deep Learning. (ekstern lenke)

Vitenskapelig artikkel

• Sipei Li; Nasim Sonboli; Mehdi Elahi et al. (2026). Fairness Implications of Data Minimization in Deep Collaborative Filtering. (ekstern lenke)
• Bilal Mahmood; Mehdi Elahi; Farhad Vadiee et al. (2025). A Supervised Machine Learning Approach for Supporting Editorial Article Selection. (ekstern lenke)
• Bilal Mahmood; Mehdi Elahi; Lubos Steskal et al. (2024). Can Large Language Models Support Editors Pick Related News Articles?. (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)
• Elham Motamedi; Danial Khosh Kholgh; Sorush Saghari et al. (2024). Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. (ekstern lenke)
• Stefano Savian; Mehdi Elahi; Andrea Alexander Janes et al. (2023). Benchmarking equivariance for Deep Learning based optical flow estimators. (ekstern lenke)
• Mehdi Elahi; Danial Khosh Kholgh; Mohammad Sina Kiarostami et al. (2023). Hybrid recommendation by incorporating the sentiment of product reviews. (ekstern lenke)
• Mohammad Reza Zarei; Mohammad R. Moosavi; Mehdi Elahi (2022). Adaptive trust-aware collaborative filtering for cold start recommendation. (ekstern lenke)
• Mehdi Elahi; Alain Dominique Starke; Nabil El Ioini et al. (2022). Developing and Evaluating a University Recommender System. (ekstern lenke)
• Shahpar Yakhchi; Amin Beheshti; Seyed-mohssen Ghafari et al. (2022). A Convolutional Attention Network for Unifying General and Sequential Recommenders. (ekstern lenke)
• Benjamin Uwe Kille; Andreas Lommatzsch; Özlem Özgöbek et al. (2022). News Images in MediaEval 2022. (ekstern lenke)
• Fatemeh Elahi; Mahmood Fazlali; Hadi Tabatabaee Malazi et al. (2022). Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems. (ekstern lenke)
• Benjamin Uwe Kille; Andreas Lommatzsch; Özlem Özgöbek et al. (2021). News Images in MediaEval 2021. (ekstern lenke)
• Mehdi Elahi; Danial Khosh Kholgh; Mohammad Sina Kiarostami et al. (2021). Investigating the impact of recommender systems on user-based and item-based popularity bias. (ekstern lenke)
• Christoph Trattner; Dietmar Jannach; Enrico Motta et al. (2021). Responsible media technology and AI: challenges and research directions. (ekstern lenke)
• Claudio Agostino Ardagna; Rasool Asal; Ernesto Damiani et al. (2020). From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain. (ekstern lenke)
• Naieme Hazrati; Mehdi Elahi (2020). Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. (ekstern lenke)

Vitenskapelig bokkapittel

• Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach et al. (2023). Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. (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)
• Tord Kvifte; Mehdi Elahi; Christoph Trattner (2022). Hybrid Recommendation of Movies based on Deep Content Features. (ekstern lenke)
• Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach et al. (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.. (ekstern lenke)
• Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini et al. (2021). Recommending Videos in Cold Start With Automatic Visual Tags. (ekstern lenke)
• Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury et al. (2021). Beyond Algorithmic Fairness in Recommender Systems. (ekstern lenke)
• Himan Abdollahpouri; Mehdi Elahi; Masoud Mansoury et al. (2021). MORS 2021: 1st Workshop on Multi Objective Recommender Systems. (ekstern lenke)
• Naieme Hazrati; Mehdi Elahi; Francesco Ricci (2020). Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. (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)

Vitenskapelig litteraturgjennomgang

• Anastasiia Klimashevskaia; Dietmar Jannach; Mehdi Elahi et al. (2024). A survey on popularity bias in recommender systems. (ekstern lenke)
• Mehdi Elahi; Dietmar Jannach; Lars Skjærven et al. (2021). Towards Responsible Media Recommendation. (ekstern lenke)

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