Assoc. Prof. Mehdi Elahi

About us

Picture of Mehdi Elahi

Details

Role
Work Package Leader
Connected to
WP2: User Modeling, Personalisation & Engagement
Affiliation
University of Bergen

Contact

/ Biography

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).

/ Publications

Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.

2022

Developing and Evaluating a University Recommender System Journal Article

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

In: Frontiers in Artificial Intelligence , 2022.

Abstract | Links | BibTeX

Hybrid Recommendation of Movies based on Deep Content Features Inproceedings

Kvifte, Tord; Elahi, Mehdi; Trattner, Christoph

In: Springer Nature, 2022.

Abstract | Links | BibTeX

2021

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

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

In: AI and Ethics, 2021.

Links | BibTeX

Towards Responsible Media Recommendation Journal Article

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

In: AI and Ethics, 2021.

Links | BibTeX

Recommending Videos in Cold Start With Automatic Visual Tags Inproceedings

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

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

Abstract | Links | BibTeX

Enhanced Movie Recommendation Incorporating Visual Features Working paper

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

2021.

Links | BibTeX

Beyond Algorithmic Fairness in Recommender System Working paper

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

2021.

Links | BibTeX

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

Elahi, Mehdi; Kvifte, Tord

Universitetet i Bergen, 2021.

Abstract | Links | BibTeX

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

Elahi, Mehdi; Johannessen, Øyvind

Universitetet i Bergen, 2021.

Abstract | Links | BibTeX

MORS 2021: 1st Workshop on Multi Objective Recommender Systems Inproceedings

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

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

Abstract | Links | BibTeX

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

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

In: Information Processing & Management, 2021.

Abstract | Links | BibTeX

Beyond Algorithmic Fairness in Recommender Systems Inproceedings

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

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

Links | BibTeX

2020

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

Hazrati, Naieme; Elahi, Mehdi

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

Abstract | Links | BibTeX

2017

Exploring the semantic gap for movie recommendations Conference

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

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

Abstract | Links | BibTeX

Visually-Aware Video Recommendation in the Cold Start Conference

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

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

Abstract | Links | BibTeX

2016

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

Elahi, Mehdi; Ricci, Francesco; Rubens, Neil

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

Abstract | Links | BibTeX

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

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

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

Abstract | Links | BibTeX

2015

Active learning in recommender systems Book Chapter

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

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

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

0000.

BibTeX