Telecommunications Science ›› 2015, Vol. 31 ›› Issue (10): 108-114.doi: 10.11959/j.issn.1000-0801.2015273

• Internet business • Previous Articles     Next Articles

Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive

Jin Qi,Bin Xu,Xiaoxuan Hu,Bianjia Xu,Xinglin Xiao   

  1. Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Online:2015-10-20 Published:2017-07-21
  • Supported by:
    Application & Research Joint Innovation Funding Product of Jiangsu Province;NUPTSF;NUPTSF

Abstract:

Recently,online social network(OSN)has become essential tools for information sharing and communication in people’s work and life.How to cognitive massive,complex,large-area and spatiotemporal association user behavior information and provide personalized re1commendation services have become problems need special attention in development of OSN.Thus,a frame of collaborative recommendation for OSN based on user behavior cognitive was proposed which used collaborative filtering algorithm to provide personalized recommendation services on the basis of analysis of behavior of user characteristics,text information and interest preferences,etc.Experimental results verify that the proposed collaborative recommendation strategy based on user behavior cognitive has good stability and actual application effect.

Key words: online social network, behavior cognitive, collaborative recommendation, user interest model

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