CrossCBR
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat‐Seng Chua
2022Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining99 citationsDOIOpen Access PDF
Abstract
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.
Topics & Concepts
BundleComputer scienceMargin (machine learning)GraphSet (abstract data type)Information retrievalArtificial intelligenceTheoretical computer scienceMachine learningMaterials scienceProgramming languageComposite materialRecommender Systems and TechniquesAdvanced Graph Neural NetworksTopic Modeling