Farzad Eskandanian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Preference Model

Recommender Systems

Peculiarity Oriented Mining

Top Venues

UMAP (Adjunct Publication)

FLAIRS Conference

Publications

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)
Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. CoRR (2024)
Farzad Eskandanian, Bamshad Mobasher
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. CoRR (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR (2020)
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR (2020)
Farzad Eskandanian, Bamshad Mobasher
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. UMAP (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP (2020)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. UMAP (2019)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. CoRR (2019)
Farzad Eskandanian, Bamshad Mobasher
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. CoRR (2019)
Farzad Eskandanian, Bamshad Mobasher
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. FLAIRS Conference (2019)
Farzad Eskandanian, Bamshad Mobasher
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. CoRR (2018)
Farzad Eskandanian, Bamshad Mobasher, Robin Burke
A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. UMAP (2017)
Robin D. Burke, Farzad Eskandanian
Collaborative Recommendation of Informal Learning Experiences. WI Workshops (2016)
Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke
User Segmentation for Controlling Recommendation Diversity. RecSys Posters (2016)