32 citations · 96 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
Ordinal Boltzmann Machines for Collaborative Filtering
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
Collaborative filtering is an effective recommendation technique wherein the preference of an individual can potentially be predicted based on preferences of other members. Early a…