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2020 – today
- 2024
[c8]Kun Lin
, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher:
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. UMAP (Adjunct Publication) 2024- [i7]Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher:
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. CoRR abs/2405.10232 (2024) - 2020
- [c7]Farzad Eskandanian, Bamshad Mobasher:
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. UMAP 2020: 71-79 - [c6]Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP 2020: 239-247 - [i6]Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR abs/2005.12974 (2020) - [i5]Farzad Eskandanian, Bamshad Mobasher:
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. CoRR abs/2006.03715 (2020) - [i4]Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao:
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR abs/2009.02590 (2020)
2010 – 2019
- 2019
- [c5]Farzad Eskandanian, Bamshad Mobasher:
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. FLAIRS 2019: 425-430 - [c4]Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher:
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. UMAP 2019: 225-233 - [i3]Farzad Eskandanian, Bamshad Mobasher:
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. CoRR abs/1905.06863 (2019) - [i2]Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher:
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. CoRR abs/1905.08031 (2019) - 2018
- [i1]Farzad Eskandanian, Bamshad Mobasher:
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. CoRR abs/1810.00272 (2018) - 2017
- [c3]Farzad Eskandanian, Bamshad Mobasher, Robin Burke:
A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. UMAP 2017: 280-284 - 2016
- [c2]Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke:
User Segmentation for Controlling Recommendation Diversity. RecSys Posters 2016 - [c1]Robin D. Burke, Farzad Eskandanian:
Collaborative Recommendation of Informal Learning Experiences. WI Workshops 2016: 66-67
Coauthor Index
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