DEKGCI: A double-ended recommendation model for integrating knowledge graph and user–item interaction graph

Author:

Yang Yajing,Zeng Zeyu,Jiang Shiyun,Chen Mao,Shang Ruirui

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference43 articles.

1. Andrea G, Simone N, Fatima G (2022) Algorithmic logics and the construction of cultural taste of the Netflix Recommender System. In: Culture & Society. Media.

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3. Boeker M, Urman A (2022) An Empirical Investigation of Personalization Factors on TikTok

4. Breese JS, Heckerman D, Kadie C (2013) Empirical analysis of predictive algorithms for collaborative filtering. Uncertainty in Artificial Intelligence

5. Chen J, Zhu T, Gong M, Wang Z (2022) A game-based evolutionary clustering with historical information aggregation for personal recommendation. IEEE Transac Emerging Topics Comput Intell 7(2):552–564

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