抽象的

Recommendation algorithm based on collaborative filtering under social network environment

Caixia Lu


A collaborative recommendation algorithm based on community found is proposed in this paper. The idea of community is introduced in collaborative recommendation, at the same time the scoring pre-treatment is joined, in order to solve some problems in the traditional collaborative filtering recommendation. Results demonstrate that algorithm proposed in this paper is better than the algorithms based on the Pearson similarity and Cosine similarity.


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索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 宇宙IF
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • ICMJE

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