143 citations · 1.1k across the 106 of their papers we have counts for
3 papers · 2 filters
Permutation Models for Collaborative Ranking
Truyen Tran, Svetha Venkatesh
We study the problem of collaborative filtering where ranking information is available. Focusing on the core of the collaborative ranking process, the user and their community, we…
Preference Networks: Probabilistic Models for Recommendation Systems
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Preferen…
Learning Rank Functionals: An Empirical Study
Truyen Tran, Dinh Phung, Svetha Venkatesh
Ranking is a key aspect of many applications, such as information retrieval, question answering, ad placement and recommender systems. Learning to rank has the goal of estimating a…