A Hybrid-Preference Neural Model for Basket-Sensitive Item Recommendation

Basket-Sensitive Item Recommendation (BSIR) is a challenging task that aims to recommend an item to add to the current basket given a user’s historical behaviors. The recommended item is supposed to be relevant to the items in current basket. Previous works mainly produce a recommendation...

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Auteurs principaux: Zhiqiang Pan, Wanyu Chen, Honghui Chen
Format: article
Langue:EN
Publié: IEEE 2020
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Accès en ligne:https://doaj.org/article/1867ccc312da489bbd645f3a8c2aa8dd
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