23 citations · 27 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…
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran The Truyen, Dinh Q. Phung, Hung H. Bui +1
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirectedMarkov ch…