3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
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…
Probabilistic Models over Ordered Partitions with Application in Learning to Rank
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
This paper addresses the general problem of modelling and learning rank data with ties. We propose a probabilistic generative model, that models the process as permutations over pa…