2 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases
Zheng Hu, Shi-Min Cai, Jun Wang +1
The existing collaborative recommendation models that use multi-modal information emphasize the representation of users' preferences but easily ignore the representation of users'…
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning
Yuyuan Li, Chaochao Chen, Xiaolin Zheng +3
Recent regulations on the Right to be Forgotten have greatly influenced the way of running a recommender system, because users now have the right to withdraw their private data. Be…
A Probabilistic View of Neighborhood-based Recommendation Methods
Jun Wang, Qiang Tang
Probabilistic graphic model is an elegant framework to compactly present complex real-world observations by modeling uncertainty and logical flow (conditionally independent factors…
A Theory of Information Matching
Jagadeesh Gorla, Stephen Robertson, Jun Wang +1
In this work, we propose a theory for information matching. It is motivated by the observation that retrieval is about the relevance matching between two sets of properties (featur…