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Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation

Jun 05, 2020
Farzad Eskandanian, Bamshad Mobasher


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Opportunistic Multi-aspect Fairness through Personalized Re-ranking

May 21, 2020
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher


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Crank up the volume: preference bias amplification in collaborative recommendation

Sep 13, 2019
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke

* Presented at the RMSE workshop held in conjunction with the 13th ACM Conference on Recommender Systems (RecSys), 2019, in Copenhagen, Denmark 

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Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison

Aug 02, 2019
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy

* Workshop on Recommendation in Multi-Stakeholder Environments (RMSE) at ACM RecSys 2019, Copenhagen, Denmark 

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Flatter is better: Percentile Transformations for Recommender Systems

Jul 10, 2019
Masoud Mansoury, Robin Burke, Bamshad Mobasher


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Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems

May 14, 2019
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher


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Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models

May 14, 2019
Farzad Eskandanian, Bamshad Mobasher

* arXiv admin note: substantial text overlap with arXiv:1810.00272 

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Value-Aware Item Weighting for Long-Tail Recommendation

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


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