计算机科学 ›› 2007, Vol. 34 ›› Issue (6): 204-206.

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一个面向新兴趣点发现的模糊兴趣挖掘算法

唐灿 唐亮贵 刘波   

  1. 重庆工商大学计算机与信息工程学院,重庆400067
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    重庆市科攻关项目(CSTC,2005AC2090),重庆市教委科技项目(KJ060704).

TANG Can ,TANG Liang-Gui, LIU Bo (Department of Computer Science, Chongqing Technology and Business University, Chongqing 400067)   

  • Online:2018-11-16 Published:2018-11-16

摘要: 本文在分析现有个性化推荐算法的基础之上,针对其难以发现新的用户兴趣点的不足,提出了一种面向新兴趣点发现的协作算法,建立了包括新兴趣点的多商品模糊兴趣模型。实验表明,该模型比现有模型更优。

关键词: 个性化 模糊兴趣模型 推荐系统 新兴趣点

Abstract: Based on the analysis the of current personal recommendation generation algorithms , to resolve the problem that can't find new interest, a fuzzy Interest pattern for new Interest oriented is proposed in this paper. We build a serial of recommend algorith

Key words: Personalization, Fuzzy interest pattern, Recommender systems, New-interest point

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