26 citations · 41 across the 2 of their papers we have counts for
3 papers
cs.IR2020★ 15 cited
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang, Chen Gao, Xiangnan He +2
Bundle recommendation aims to recommend a bundle of items for a user to consume as a whole. Existing solutions integrate user-item interaction modeling into bundle recommendation b…
cs.IR2020
Price-aware Recommendation with Graph Convolutional Networks
Yu Zheng, Chen Gao, Xiangnan He +2
In recent years, much research effort on recommendation has been devoted to mining user behaviors, i.e., collaborative filtering, along with the general information which describes…
cs.LG2019★ 26 cited
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Yihong Chen, Bei Chen, Xiangnan He +4
Recommendation models mainly deal with categorical variables, such as user/item ID and attributes. Besides the high-cardinality issue, the interactions among such categorical varia…