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基于查询|概念的用户兴趣模型构建
引用本文:宋天勇,赵辉,郑山红,王国春. 基于查询|概念的用户兴趣模型构建[J]. 吉林大学学报(信息科学版), 2015, 33(3): 310-314. DOI: 10.3969/j.issn.1671-5896.2015.03.015
作者姓名:宋天勇  赵辉  郑山红  王国春
作者单位:长春工业大学 计算机科学与工程学院, 长春 130012
基金项目:吉林省科技厅自然科学基金资助项目(20130101060JC),吉林省教育厅“十二五”科学技术研究基金资助项目(2014132
摘    要:针对查询|概念二分图因概念抓取和查询词权重设计不足而导致构建的用户兴趣模型不合理的问题, 提出一种基于查询|概念二分图的用户兴趣建模算法。通过tf×idf公式抓取概念, 并利用用户对查询词的浏览时间计算查询词的权重, 确保改进后的查询|概念二分图能更准确地表示用户的查询意图。实验结果表明, 该算法构建的用户兴趣更为合理。

关 键 词:查询-概念二分图  浏览时间  用户兴趣模型  
收稿时间:2014-12-29

Construction of User Interest Model Based on Queries and Concept
SONG Tianyong,ZHAO Hui,ZHENG Shanhong,WANG Guochun. Construction of User Interest Model Based on Queries and Concept[J]. Journal of Jilin University:Information Sci Ed, 2015, 33(3): 310-314. DOI: 10.3969/j.issn.1671-5896.2015.03.015
Authors:SONG Tianyong  ZHAO Hui  ZHENG Shanhong  WANG Guochun
Affiliation:College of Computer Science and Engineering, Changchun University of Technology, Changchun  130012, China
Abstract:Bipartite graph of queries and concept is insufficient in concept grabbing and calculating weight of the query words, which cause the user interest model construction not reasonable. The improved bipartite graph of queries and concept will represent the users query intent more accurate by using tf×idf grasping concepts and calculating the weight of query query words through user's browsing time. A user interest modeling algorithm based on improved bipartite graph of queries and concept was proposed. And experiments verified that user interest model constructed by this algorithm is more reasonable.
Keywords:bipartite graph of queries and concept  browsing time  user interest model (UIM)
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