Quaternion Collaborative Filtering for Recommendation

no code implementations • 6 Jun 2019 • Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay

All in all, we conduct extensive experiments on six real-world datasets, demonstrating the effectiveness of Quaternion algebra in recommender systems.

Collaborative Filtering Inductive Bias +2

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

no code implementations • 5 Sep 2018 • Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li

This paper investigates the notion of learning user and item representations in non-Euclidean space.

Collaborative Filtering Metric Learning +2

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation

no code implementations • 12 Apr 2018 • Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiao-Li Li

Our proposed approach hinges upon the key intuition that the decision making process (in groups) is generally dynamic, i. e., a user's decision is highly dependent on the other group members.

Decision Making