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 based...

Full description

Bibliographic Details
Main Authors: Zhiqiang Pan, Wanyu Chen, Honghui Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Basket-sensitive item recommendation
sequential recommendation
recurrent neural networks
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9294065/

Internet

https://ieeexplore.ieee.org/document/9294065/

Similar Items