17 citations · 34 across the 7 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.IR2018★ 1 cited
Using Taste Groups for Collaborative Filtering
Farhan Khawar, Nevin L. Zhang
Implicit feedback is the simplest form of user feedback that can be used for item recommendation. It is easy to collect and domain independent. However, there is a lack of negative…
cs.LG2018
Matrix Factorization Equals Efficient Co-occurrence Representation
Farhan Khawar, Nevin L. Zhang
Matrix factorization is a simple and effective solution to the recommendation problem. It has been extensively employed in the industry and has attracted much attention from the ac…
cs.IR2018
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing
Farhan Khawar, Nevin L. Zhang
Searching, browsing, and recommendations are common ways in which the "choice overload" faced by users in the online marketplace can be mitigated. In this paper we propose the use…