Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (15): 19-24.

• 博士论坛 • Previous Articles     Next Articles

Research on user profile model in personalized searching

YUAN Liu1,ZHANG Longbo2   

  1. 1.College of Computer Science,Shaanxi Normal University,Xi’an 710062,China
    2.School of Computer Science and Technology,Shandong University of Technology,Zibo,Shandong 255049,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-05-21 Published:2011-05-21


袁 柳1,张龙波2


  1. 1.陕西师范大学 计算机科学学院,西安 710062
    2.山东理工大学 计算机学院,山东 淄博 255049

Abstract: User profile description is the core component of personalized search algorithm.The traditional keywords based vector space model is too simple to describe the user profile completely.By combining the structure of folksonomy and the explicit semantic of ontology concepts,a multi-layer user profile description model is proposed.Both user interesting and user relation are taken into considered in the model,and user profile can be described in different abstract layer such as tag,documents annotated and topics.Evaluation method of personalized search and the effect of resource type on user profile are also discussed.Experiments on Delicious dataset and Flickr dataset show that the user profile model proposed can improve personalized search performance effectively.

Key words: user profile, tag, personalized search, folksonomy



关键词: 用户特征, 标签, 个性化搜索, 公众分类