Recommendation of E-commerce Product Based on Knowledge Graph and Collaborative Filtering-Reference-Cited by-同舟云学术

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Recommendation of E-commerce Product Based on Knowledge Graph and Collaborative Filtering

Published:2023-12-08 Issue: Volume:50 Page:22-26
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management
language:
Short-container-title:

Author:

Qi Ziran¹^ORCID,Fan Guangquan¹^ORCID,Zhao Ningxin¹^ORCID

Affiliation:

1. School of Management Science and Engineering, Hebei University of Economics and Business, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659211.3659215

Reference9 articles.

1. A review of knowledge graph based recommender systems;Qin C.;Science in China: Information Science,2020

2. Q. C. Yu, M. Q. Zhao, Y. T. Luo, “Collaborative filtering hybrid recommendation algorithm based on optimal weight and its application,” Operations Research and Management, pp. 1-8, February 2023.

3. Improved hybrid recommendation algorithm based on user interest and rating difference;Wang Y.;Computer Engineering and Design,2021

4. H. W. Xu, T. Z. Tan, “Construction of personalized recommendation system based on knowledge graph,” Digital Technology and Application, vol. 40.03, pp. 152-154 + 164, 2022

5. X. Y. Shen, X. H. Cai, H. Cao, “Research progress of recommendation system based on medical knowledge graph,” Computer Engineering and Applications, pp. 1-15, March 2023

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