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25 May 2023 A review of recommendation system research based on knowledge graph
Sisi Huang, Yao Liu, Chong Wang
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Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126362D (2023) https://doi.org/10.1117/12.2675305
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
With the development of information technology, big data technology, and mobile Internet technology, people can quickly obtain and process a large amount of information. However, a significant quantity of detailed information makes it difficult for people to get the information they need efficiently. The emergence of recommendation systems solves this problem very well. It can actively push the information that users are interested in. Knowledge graph-based recommendation technology is mainly used to solve problems, such as the interpretability and cold start encountered by recommendation systems in analysing large data volumes. This paper introduces four aspects of recommendation technology based on knowledge graphs: recommendation algorithm, evaluation metrics, datasets, and models.
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Sisi Huang, Yao Liu, and Chong Wang "A review of recommendation system research based on knowledge graph", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126362D (25 May 2023); https://doi.org/10.1117/12.2675305
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KEYWORDS
Semantics
Machine learning
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Internet technology
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