VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation-Reference-Cited by-同舟云学术

VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Lu Lingyun¹^ORCID,Wang Bang¹^ORCID,Zhang Zizhuo¹^ORCID,Liu Shenghao¹^ORCID,Xu Han¹^ORCID

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570482

Reference39 articles.

1. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

2. Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems , Vol. 26 ( 2013 ). Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, Vol. 26 (2013).

3. DEKR

4. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences. In The world wide web conference. 151--161. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences. In The world wide web conference. 151--161.

5. Personalized Recommendations using Knowledge Graphs

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