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Preprint Version.pdf

SIGIR2020Wangcy.pdf
Preview of Preprint Version
🔗 Source: thuir.cn
📊 Size: 5.75 MB
👤 Author: Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma
⬇️ Downloads: 62

Summary

Chenyang Wang et al. propose a novel method called Chorus for sequential recommendation, which models dynamic user demands by considering item relations and their temporal dynamics. Chorus derives knowledge- and time-aware item embeddings by combining basic and relational representations using temporal kernel functions, allowing for flexible integration with various algorithms to generate recommendations. Experiments on three real-world datasets show significant improvements over state-of-the-art baseline methods, with highly interpretable time-related parameters that strengthen the explainability of recommendations.

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Chenyang Wang et al.

Technical Information

  • File Format: PDF
  • File Size: 5.75 MB
  • Pages: 10
  • Language: EN
  • Author: Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma
  • Total Downloads: 62
  • Last Updated: 1 month ago

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