Global and session item graph neural network for session-based recommendation

Jinfang Sheng; Jiafu Zhu; Bin Wang; Zhendan Long

doi:10.1007/s10489-022-04034-w

ScienceGate Book Chapters

JOURNAL ARTICLE

Global and session item graph neural network for session-based recommendation

Jinfang Sheng Jiafu Zhu Bin Wang Zhendan Long

Year: 2022 Journal: Applied Intelligence Vol: 53 (10)Pages: 11737-11749 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-022-04034-w

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Session (web analytics) Graph Artificial neural network Artificial intelligence Machine learning Theoretical computer science World Wide Web

Metrics

Cited By

1.90

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Global and session item graph neural network for session-based recommendation

Metrics

Citation History

Topics

Related Documents

Dual-grained global graph neural network for session-based recommendation

A Time-Sensitive Graph Neural Network for Session-Based New Item Recommendation

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

Self-supervised global context graph neural network for session-based recommendation

Improved Global and Local Graph Neural Network for Session-based Recommendation