Personal Interest Attention Graph Neural Networks for Session-Based Recommendation

Personal Interest Attention Graph Neural Networks for Session-Based Recommendation

Session-based recommendations aim to predict a user’s next click based on the user’s current and historical sessions, which can be applied to shopping websites and APPs. Existing session-based recommendation methods cannot accurately capture the complex transitions between items. In addition, some a...

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Bibliographic Details
Main Authors: Xiangde Zhang, Yuan Zhou, Jianping Wang, Xiaojun Lu
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Entropy
Subjects:
session-based recommendation
graph neural networks
attention
recommendation system
Online Access:https://www.mdpi.com/1099-4300/23/11/1500

Internet

https://www.mdpi.com/1099-4300/23/11/1500

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