Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Himan Abdollahpouri

Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation

Aug 07, 2021
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri

  Access Paper or Ask Questions

A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems

Jul 07, 2021
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

* arXiv admin note: substantial text overlap with arXiv:2005.01148 

  Access Paper or Ask Questions

Toward the Next Generation of News Recommender Systems

Mar 11, 2021
Himan Abdollahpouri, Edward Malthouse, Joseph Konstan, Bamshad Mobasher, Jeremy Gilbert

* WWW '21 Companion, April 19-23, 2021, Ljubljana, Slovenia 

  Access Paper or Ask Questions

User-centered Evaluation of Popularity Bias in Recommender Systems

Mar 10, 2021
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward Malthouse

* Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '21), June 21--25, 2021, Utrecht, Netherlands. arXiv admin note: text overlap with arXiv:2007.12230 

  Access Paper or Ask Questions

Beyond Personalization: Research Directions in Multistakeholder Recommendation

May 01, 2019
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Pizzato

* 66 pages 

  Access Paper or Ask Questions

Value-Aware Item Weighting for Long-Tail Recommendation

Feb 15, 2018
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

  Access Paper or Ask Questions