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

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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Bibliographic Details
Main Authors: Zhiqiang Pan, Wanyu Chen, Honghui Chen
Format: article
Language:EN
Published: IEEE 2020
Subjects:
Basket-sensitive item recommendation
sequential recommendation
recurrent neural networks
attention mechanism
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/1867ccc312da489bbd645f3a8c2aa8dd
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https://doaj.org/article/1867ccc312da489bbd645f3a8c2aa8dd

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