no code implementations • 20 Feb 2022 • Peng Wang, Renqin Cai, Hongning Wang
Explanations in a recommender system assist users in making informed decisions among a set of recommended items.
no code implementations • 1 Nov 2021 • Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i. e., comparative explanations about the recommended items.
no code implementations • 14 Feb 2021 • Fan Yao, Renqin Cai, Hongning Wang
Combinatorial optimization problem (COP) over graphs is a fundamental challenge in optimization.
no code implementations • 30 Jan 2020 • Renqin Cai, Qinglei Wang, Chong Wang, Xiaobing Liu
To better model the long-term dependence structure, we propose a GatedLongRec solution in this work.
no code implementations • 29 Jan 2020 • Jibang Wu, Renqin Cai, Hongning Wang
Predicting users' preferences based on their sequential behaviors in history is challenging and crucial for modern recommender systems.