计算机科学 ›› 2011, Vol. 38 ›› Issue (Z10): 128-132.

• CRSSC-CWI-CGrC2015 • 上一篇    下一篇

移动互联网基于用户网络结构的信息过滤机制

王景欣,袁坚,耿军伟,冯振明   

  1. (清华大学电子工程系 北京100084)(北京市电力公司输电公司 北京100068)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受973国家重点基础研究发展计划(2007CB307100,2007CB307105)资助。

Information Filtering Mechanism Based on User Network Architecture for Mobile Internet

WANG Jing-xin,YUAN Jian,GENG Jun-wei,FENG Zhen-ming   

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

摘要: 针对提高移动互联网信息过滤机制准确率及用户冷启动问题,提出了一种基于用户网络结构的信息过滤机制。该机制将用户网络结构作为信息过滤机制的一部分,帮助机制识别用户需求,实现准确信息过滤。具体包含:利用用户网络社交结构限制信息传播途径,提供协同过滤中用户相似性度量新维度;利用基于资源流行度的用户网络兴趣结构修正协同过滤中的用户相似性度量;利用用户网络兴趣簇指纹解决冷启动问题。数据分析表明该机制具备较好的性能。该工作对移动互联网中用户网络结构的应用问题研究具有启发作用。

关键词: 协同过滤,网络结构,兴趣簇,资源流行度

Abstract: To improve the accuracy of information filtering mechanism and resolve the cold start problem, an information filtering mechanism based on user network architecture was proposed. Here, the social network is treated as a part of the information sharing and dissemination system, like information processing nodes, to help us recognize mobile users' needs and identify more interesting services. The user interest network structure is used to improve the collaborafive filtering. The social network is used to limit the transmission of information. The fingerprints are used to solve the cold start problem. Data analysis shows that this mechanism has better performance.

Key words: Collaborative filtering,Nctwork structure,Interest clustcr,Rcsource popularity

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