Tag Recommendation Based on User Interest Lattice Matching
social tagging is becoming more and more popular in various Web 2.0 applications nowadays. It is important for many web-sites with tagging capabilities like delicious or flickr. These social tagging systems usually include tag recommendation mechanism which assist users in tagging process by suggesting relevant tags to them, where tag recommendation is the task of predicting a personalized list of tags for a user given an item. In this paper, we propose an approach for tag recommendation based on users interest lattice malchingdJILM). U1I.M constructs the users interest lattice according to users interest context extracted from tagging data. Lattice Matching is then proposed and applied to obtain the users that are similar to the current user. Finally, we show the feasibility and efficiency of our approach through experiments.
tag recommendation Social tagging User interest lattice
Fei Hao Shengtong Zhong
Department of Computer Science Korea Advanced Institute of Science and Technology 305-701 Daejeon, K Department of Computer and Information Science Norwegian University of Science and Technology NO-749
国际会议
成都
英文
276-280
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）