Picture of Mehdi Elahi

Assoc. Prof. Mehdi Elahi

Work Package Leader

University of Bergen
Mehdi Elahi is an Associate Professor at the University of Bergen (UiB), Norway. Before joining this university, in 2014, Mehdi Elahi has obtained his Ph.D. degree in Computer Science and since then, he has published more than 70 peer-reviewed journal and conference publications. His current #citation is 1700+ and his H-index is 20. His research has been mainly focused on AI, Data Science, and Cognitive Science, with an emphasis on their potential industrial applications such as on Recommender Systems. He has also co-invented and co-coowned an AI-related US-patent. Mehdi Elahi has been involved in the authorship of several EU grant proposals such as the large-scale grants, recently funded with a budget of 30 Million Euro, where he will serve as WP Leader for 8 years. Before that, he has received prestigious research credits from giant IT industries (i.e., Amazon and Google). His research findings have been published in some of the most prestigious reference literature of the field (e.g., Recommender Systems Handbook). One of his journal articles has been the second most cited paper of a top Elsevier journal. He has organized International Data Challenges together with top Companies (i.e., Spotify and XING).

2024

Klimashevskaia, Anastasiia; Elahi, Mehdi; Jannach, Dietmar; Trattner, Christoph; Buodd, Simen

Empowering Editors: How Automated Recommendations Support Editorial Article Curation Workshop

RecSys 2024, INRA workshop, 2024.

Abstract | Links | BibTeX

Majjodi, Ayoub El; Khan, Sohail Ahmed; Starke, Alain D.; Elahi, Mehdi; Trattner, Christoph

Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems Conference

The ACM Conference on Recommender Systems (RecSys) 2024, 2024.

Abstract | Links | BibTeX

Mahmood, Bilal; Elahi, Mehdi; Touileb, Samia; Steskal, Lubos; Trattner, Christoph

Incorporating Editorial Feedback in the Evaluation of News Recommender Systems Conference

ACM UMAP 2024, 2024.

Abstract | Links | BibTeX

Klimashevskaia, Anastasiia; Jannach, Dietmar; Elahi, Mehdi; Trattner, Christoph

A Survey on Popularity Bias in Recommender Systems Journal Article Forthcoming

In: User Modeling and User-Adapted Interaction (UMUAI), Forthcoming.

Abstract | Links | BibTeX

2023

Klimashevskaia, Anastasiia; Elahi, Mehdi; Jannach, Dietmar; Skjærven, Lars; Tessem, Astrid; Trattner, Christoph

Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study Conference

Association for Computing Machinery (ACM) RecSys ’23, 2023.

Links | BibTeX

2022

Elahi, Mehdi; Starke, Alain D.; Ioini, Nabil El; Lambrix, Anna Alexander; Trattner, Christoph

Developing and Evaluating a University Recommender System Journal Article

In: Frontiers in Artificial Intelligence , 2022.

Abstract | Links | BibTeX

Kvifte, Tord; Elahi, Mehdi; Trattner, Christoph

Hybrid Recommendation of Movies based on Deep Content Features Proceedings Article

In: Springer Nature, 2022.

Abstract | Links | BibTeX

2021

Trattner, Christoph; Jannach, Dietmar; Motta, Enrico; Meijer, Irene Costera; Diakopoulos, Nicholas; Elahi, Mehdi; Opdahl, Andreas L.; Tessem, Bjørnar; Borch, Njål; Fjeld, Morten; Øvrelid, Lilja; Smedt, Koenraad De; Moe, Hallvard

Responsible media technology and AI: challenges and research directions Journal Article

In: AI and Ethics, 2021.

Links | BibTeX

Elahi, Mehdi; Jannach, Dietmar; Skjærven, Lars; Knudsen, Erik; Sjøvaag, Helle; Tolonen, Kristian; Holmstad, Øyvind; Pipkin, Igor; Throndsen, Eivind; Stenbom, Agnes; Fiskerud, Eivind; Oesch, Adrian; Vredenberg, Loek; Trattner, Christoph

Towards Responsible Media Recommendation Journal Article

In: AI and Ethics, 2021.

Links | BibTeX

Elahi, Mehdi; Johannessen, Øyvind

Novel Methods Using Human Emotion and Visual Features for Recommending Movies Masters Thesis

Universitetet i Bergen, 2021.

Abstract | Links | BibTeX

Elahi, Mehdi; Moghaddam, Farshad Bakhshandegan; Hosseini, Reza; Rimaz, Mohammad Hossein; Trattner, Christoph

Enhanced Movie Recommendation Incorporating Visual Features Working paper

2021.

Links | BibTeX

Elahi, Mehdi; Abdollahpouri, Himan; Mansoury, Masoud; Torkamaan, Helma

Beyond Algorithmic Fairness in Recommender System Working paper

2021.

Links | BibTeX

Elahi, Mehdi; Kvifte, Tord

Video Recommendations Based on Visual Features Extracted with Deep Learning Masters Thesis

Universitetet i Bergen, 2021.

Abstract | Links | BibTeX

Abdollahpouri, Himan; Elahi, Mehdi; Mansoury, Masoud; Sahebi, Shaghayegh; Nazari, Zahra; Chaney, Allison; Loni, Babak

MORS 2021: 1st Workshop on Multi Objective Recommender Systems Proceedings Article

In: Association for Computing Machinery (ACM), 2021.

Abstract | Links | BibTeX

Elahi, Mehdi; Kholgh, Danial Khosh; Kiarostami, Mohammad Sina; Saghari, Sorush; Rad, Shiva Parsa; Tkalcic, Marko

Investigating the impact of recommender systems on user-based and item-based popularity bias Journal Article

In: Information Processing & Management, 2021.

Abstract | Links | BibTeX

Elahi, Mehdi; Moghaddam, Farshad Bakhshandegan; Hosseini, Reza; Rimaz, Mohammad Hossein; Ioini, Nabil El; Tkalcic, Marko; Trattner, Christoph; Tillo, Tammam

Recommending Videos in Cold Start With Automatic Visual Tags Proceedings Article

In: Association for Computing Machinery (ACM), 2021.

Abstract | Links | BibTeX

2020

Hazrati, Naieme; Elahi, Mehdi

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article

In: Expert Systems, vol. e12645, pp. 1-20, 2020, (Pre SFI).

Abstract | Links | BibTeX

2017

Elahi, Mehdi; Deldjoo, Yashar; Moghaddam, Farshad Bakhshandegan; Cella, Leonardo; Cerada, Stefano; Cremonesi, Paolo

Exploring the semantic gap for movie recommendations Conference

Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017, (Pre SFI).

Abstract | Links | BibTeX

Elahi, Mehdi; Hosseini, Reza; Rimaz, Mohammad Hossein; Moghaddam, Farshad B.; Trattner, Christoph

Visually-Aware Video Recommendation in the Cold Start Conference

Proccedings of theACM Hypertext 2020 2017, (Pre SFI).

Abstract | Links | BibTeX

2016

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

A survey of active learning in collaborative filtering recommender systems Journal Article

In: Computer Science Review, vol. 20, pp. 29-50, 2016, (Pre SFI).

Abstract | Links | BibTeX

Tobias, Ignacio Fernandez; Braunhofer, Matthias; Elahi, Mehdi; Ricci, Francesco; Cantador, Ivan

Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article

In: User Modeling and User-Adapted Interaction, vol. 26, no. 2-3, pp. 221-255, 2016, (Pre SFI).

Abstract | Links | BibTeX

2015

Rubens, Neil; Elahi, Mehdi; Sugiyama, Masashi; Kaplan, Dain

Active learning in recommender systems Book Chapter

In: Ricci, Francesco; Rokach, Lior; Shapira, Bracha (Ed.): pp. 809-846, Springer, 2015, ISBN: 978-1-4899-7637-6, (Pre SFI).

Abstract | Links | BibTeX

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Abdollahpouri, Himan; Elahi, Mehdi; Mansoury, Masoud; Sahebi, Shaghayegh; Nazari, Zahra; Chaney, Allison; Loni, Babak

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. Proceedings

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BibTeX