Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning

Jin Li; Zhaohui Peng; Senzhang Wang; Xiaokang Xu; Philip S. Yu; Zhenyun Hao

doi:10.1007/978-3-030-59419-0_31

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Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning

Jin Li Zhaohui Peng Senzhang Wang Xiaokang Xu Philip S. Yu Zhenyun Hao

Year: 2020 Lecture notes in computer science Pages: 507-522 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-59419-0_31

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Keywords:

Computer science Recommender system Embedding Information retrieval Construct (python library) Focus (optics) Domain (mathematical analysis) Graph Heterogeneous network Adjacency matrix Artificial intelligence Theoretical computer science

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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

Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning

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Citation History

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