推荐算法的相似度计算综述
Review on Similarity Calculation of Recommendation Algorithms
DOI: 10.12677/ORF.2022.121012, PDF,    国家社会科学基金支持
作者: 黄向春, 赵芬霞, 安建业：天津商业大学理学院，天津
关键词: 推荐算法；相似度；协同过滤；Recommendation Algorithm； Similarity； Collaborative Filtering
摘要: 相似度的计算作为推荐算法中的核心内容，合适的相似度计算方法对推荐算法的推荐效果有着重要的影响。总结了推荐算法中常用的相似度计算方法，并对这几种相似度计算方法的局限性和特点做了对比分析，最后对相似度计算方法的改进做了简单总结。
Abstract: The calculation of similarity is the core content of the recommendation algorithm, and the appropriate similarity calculation method has an important influence on the recommendation effect of the recommendation algorithm. This paper summarizes the similarity calculation methods commonly used in the recommendation algorithm, and compares and analyzes the limitations and characteristics of these similarity calculation methods, and finally summarizes the improvement of similarity calculation methods.
文章引用：黄向春, 赵芬霞, 安建业. 推荐算法的相似度计算综述[J]. 运筹与模糊学, 2022, 12(1): 119-124. https://doi.org/10.12677/ORF.2022.121012

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