CrossCBR
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat‐Seng Chua · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022
Bundle recommendation aims to recommend a bundle of related items to users, which can satisfy the users' various needs with one-stop convenience. Recent methods usually take advantage of both user-bundle and user-item interactions information to obtain informative representations for users and bundles, corresponding to bundle view and item view, respectively. However, they either use a unified view without differentiation or loosely combine the predictions of two separate views, while the crucial cooperative association between the two views' representations is overlooked.