中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 计算技术研究所
  3. 中国科学院计算技术研究所
  4. 中国科学院计算技术研究所期刊论文
  5. 英文
Query ranking model for search engine query recommendation

文献类型：期刊论文

作者Wang, JianGuo3,4; Huang, Joshua Zhexue1; Guo, Jiafeng2; Lan, Yanyan2
刊名INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
出版日期2017-06-01
卷号8期号:3页码:1019-1038
关键词Query recommendation Query log analysis Query ranking Recommendation methods
ISSN号1868-8071
DOI10.1007/s13042-015-0362-5
英文摘要In this paper, we propose a query ranking model to select and order queries for search engine query recommendations. In contrast to existing similarity-based query recommendation methods (Agglomerative clustering of a search engine query log, 2000; The query-flow graph: model and applications, 2008], this model is based on utility, and ranks a query based on the joint probability of events whereby a query is selected by the user, the search results of the query are selected by the user, and the chosen search results satisfy the user's information needs. We thus define three utilities in our model: a query-level utility representing the attractiveness of a query to the user, a perceived utility measuring the user's actions given the search results, and a posterior utility measuring the user's satisfaction with the chosen search results. We propose methods to compute these three utilities from query log data. In experiments involving real query log data, our proposed query ranking model outperformed seven other baseline methods in generating useful recommendations.
资助项目National Natural Science Foundation of China[61473194]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000401443500023
出版者SPRINGER HEIDELBERG
源URL[http://119.78.100.204/handle/2XEOYT63/7195]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Joshua Zhexue
作者单位1.Shenzhen Univ, Coll Comp Sci & Software Engn, 3688 Nanhai Ave, Shenzhen 518060, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, 6 Kexueyuan South Rd, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen, Peoples R China
4.Chinese Acad Sci, Shenzhen Univ Town, Shenzhen Inst Adv Technol, Shenzhen Key Lab High Performance Data Min, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714		 Wang, JianGuo,Huang, Joshua Zhexue,Guo, Jiafeng,et al. Query ranking model for search engine query recommendation[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2017,8(3):1019-1038.
APA Wang, JianGuo,Huang, Joshua Zhexue,Guo, Jiafeng,&Lan, Yanyan.(2017).Query ranking model for search engine query recommendation.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,8(3),1019-1038.
MLA Wang, JianGuo,et al."Query ranking model for search engine query recommendation".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 8.3(2017):1019-1038.

入库方式： OAI收割

来源：计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。