WebAug 5, 2024 · D-捆绑推荐 —— Bundle recommendation(BGCN [21])捆绑推荐主要目的为为用户一次推荐一系列物品,此时“组”的概念为一组物品,与群组推荐同理,可以利用GNN构造层次结构,进一步捕获物品之间的关系。 WebJul 25, 2024 · 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 by sharing model parameters or learning in a multi-task manner, which cannot explicitly model the affiliation between items and bundles, and fail to explore the …
Bundle Recommendation with Graph Convolutional …
WebJul 25, 2024 · In this work, we propose a graph neural network model named BGCN (short forBundle Graph Convolutional Network ) for bundle recommendation. BGCN unifies … WebJul 3, 2014 · In other words, the set of recommendations is a bundle with items interacting with each other. In this paper, we introduce a novel problem called the Bundle … bambusa vulgaris malaysia
GitHub - cjx0525/BGCN
WebApr 3, 2024 · In this paper, we formalize the personalized bundle list recommendation as a structured prediction problem and propose a bundle generation network (BGN), which … WebBundle 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 … WebJan 12, 2024 · GNN based Recommender Systems. An index of recommendation algorithms that are based on Graph Neural Networks. Our survey Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions is available on arxiv: link. Please cite our survey paper if this index is helpful. @article {gao2024graph, title= … bambusa vulgaris striata