Session-based recommendation: Learning multi-dimension interests via a multi-head attention graph neural network-Reference-Cited by-同舟云学术

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Session-based recommendation: Learning multi-dimension interests via a multi-head attention graph neural network

Published:2022-12 Issue: Volume:131 Page:109744
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Yao^ORCID,Xiong Qi,Guo Yina^ORCID

Publisher

Elsevier BV

Subject

Software

Reference27 articles.

1. Recommender systems;Resnick;Commun. ACM,1997

2. Can we ever escape from data overload? A cognitive systems diagnosis;Woods;Cogn. Technol. Work,2002

3. Evaluation of session-based recommendation algorithms;Ludewing;User Model. User Adapted Inter-Action,2018

4. Session-based recommendations with recurrent neural networks;Hidasi,2016

5. BPR: Bayesian personalized ranking from implicit feedback;Rendle,2009

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2. A Time-Sensitive Graph Neural Network for Session-Based New Item Recommendation;Electronics;2024-01-03

3. Siamese learning based on graph differential equation for Next-POI recommendation;Applied Soft Computing;2024-01

4. Session and Category Aware Recommendation with Graph Neural Networks;2024

5. A structured multi-head attention prediction method based on heterogeneous financial data;PeerJ Computer Science;2023-11-17

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