Transition Information Enhanced Disentangled Graph Neural Networks for session-based recommendation

Ansong Li; Jihua Zhu; Zhongyu Li; Haozhe Cheng

doi:10.1016/j.eswa.2022.118336

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Transition Information Enhanced Disentangled Graph Neural Networks for session-based recommendation

Ansong Li Jihua Zhu Zhongyu Li Haozhe Cheng

Year: 2022 Journal: Expert Systems with Applications Vol: 210 Pages: 118336-118336 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.118336

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Keywords:

Computer science Granularity Transition (genetics) Session (web analytics) Robustness (evolution) Graph Artificial neural network Context (archaeology) Attention network Artificial intelligence Theoretical computer science Hypergraph Machine learning Data mining World Wide Web Mathematics

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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

Transition Information Enhanced Disentangled Graph Neural Networks for session-based recommendation

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