Research on recommendation system based on integrating semantic similarity
2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)(2020)
摘要
The collaborative filtering recommendation algorithm ignores the semantic relationship between the recommendation item and the user, so this paper proposes an improved collaborative filtering recommendation algorithm that fuses semantic similarity of recommended items. This paper aims to improve the performance of the problem of ignoring the relationship between items and data sparsity in collabor...
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关键词
TV,Fuses,Collaborative filtering,Semantics,Learning (artificial intelligence),Motion pictures,History
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