Farzad Eskandanian

According to our database, Farzad Eskandanian authored at least 9 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation.

Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao

CoRR, 2020

Opportunistic Multi-aspect Fairness through Personalized Re-ranking.

Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

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

Farzad Eskandanian, Bamshad Mobasher

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2019

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

Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

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

Farzad Eskandanian, Bamshad Mobasher

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks.

Farzad Eskandanian, Bamshad Mobasher

CoRR, 2018

2017

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.

Farzad Eskandanian, Bamshad Mobasher, Robin Burke

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Collaborative Recommendation of Informal Learning Experiences.

Robin D. Burke, Farzad Eskandanian

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

User Segmentation for Controlling Recommendation Diversity.

Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016