Study and Implementation of Accurate Retrieval System Based on Attractions Interest Model
With the rapid development of Web 2.0 and social networks,travel has become more and more popular.But it becomes very difficult to filter out the travel information which meets the needs from the mass tourism information on the Internet.In this paper,we implement an information retrieval system based on topic model to solve this issue.First,we construct the attractions interest model by using topic model to analyze large attractions comments.Then we use a highly efficient algorithm to implement topic query expansion for realizing semantic query.On this basis,we propose the method of topic distribution sorting.The retrieval system can return more accurate retrieval results to users by speculating user query intent.Experimental results show that the ranking ability of our accurate retrieval system shows advantages beyond traditional retrieval system.
Information retrieval Tourism topic model Latent dirichlet allocation Query expansion
Ruiqiang Fan Junping Du Yipeng Zhou
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia,School of Computer S School of Computer and Information Engineering,Beijing Technology and Business University,Beijing,Ch
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
477-485
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）