计算机工程与应用2018，Vol.54Issue(6)：37-43,7.DOI:10.3778/j.issn.1002-8331.1611-0108
面向个性化站点的用户检索意图建模方法
Novel retrieval intention modeling method for personalized website
摘要
Abstract
Personalized website rarely considers user's search intention in retrieval process.To recommend more satisfac-tory results without any user feedback in personalized website retrieval,this paper proposes a keyword extraction method combining the cross entropy with word feature information, and a text ranking method assembling the cosine similarity with weighted Hamming distance.Firstly,web page text content is obtained from the requested personalized website by filtering the web page address.Secondly,based on the obtained text content,keywords which can reflect user's retrieval intention are extracted. Thirdly, user's intention vector model is constructed and a re-retrieval process is performed by calling the main search engine.Finally,the similarity between the user's intention model and the re-retrieved records is computed,and the results sorted by the similarity values are returned to user.Experimental results show that the proposed method can reflect the user's query intention and provide a notably convenient user experience.关键词
个性化站点/用户意图/查询推荐/信息检索Key words
personalized website/user intention/query recommendation/information retrieval分类
信息技术与安全科学引用本文复制引用
张瑞芳,郭克华..面向个性化站点的用户检索意图建模方法[J].计算机工程与应用,2018,54(6):37-43,7.基金项目
国家自然科学基金(No.61672535) （No.61672535）
高维信息智能感知与系统教育部重点实验室创新基金(No.JYB201502) （No.JYB201502）
湖南省普通高校青年教师培养计划 （）
中南大学中央高校基本科研业务费专项(No.2016zzts351) （No.2016zzts351）
中南大学创新驱动计划(No.2015CXS010) （No.2015CXS010）
中南大学升华育英计划专项. （）
