Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (1): 24-28.

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Search result ranking based on quality of search experience

LI Chao1,2,3, XIE Kunwu1,2   

  1. 1.College of Science and Technology, Hubei University for Nationalities, Enshi, Hubei 445000, China
    2.Department of Computer Science and Technology, Hubei University for Nationalities, Enshi, Hubei 445000, China
    3.College of Computer Science and Technology, Hohai University, Nanjing 211000, China
  • Online:2014-01-01 Published:2013-12-30

用户搜索体验质量及搜索结果排序

李  超1,2,3,谢坤武1,2   

  1. 1.湖北民族学院 科技学院,湖北 恩施 445000
    2.湖北民族学院 计算机科学与技术系,湖北 恩施 445000
    3.河海大学 计算机及信息工程学院,南京 211000

Abstract: There is a certain cycle on index library update in search engines, current search services on Web pages don’t consider the real-time quality characteristics of index resource, and the sorting of search results can’t embody users’ multilevel requirements. This paper presents a user search experience quality model and applies it into the open source search engine Nutch. Nutch takes the factors that affect search experience quality into the ranking of search results. Experiments present the differences in search experience quality before and after eliminating those factors, and reflect the influences of those factors on search result ranking and user search experience quality. This experience is a basis work to enhance the quality of user search experience, reduce energy consumption in search engine and network transmission, and then achieve overall optimization for search service.

Key words: quality of search experience, Web pages, result ranking

摘要: 搜索引擎的索引库内容更新存在一定周期,目前在提供Web页面搜索服务时,搜索结果的排序没有考虑其索引资源的实时质量特征,难以满足用户搜索的多层次要求。提出了用户搜索体验质量模型,并把该模型应用于开源搜索引擎Nutch中。在提供搜索服务时,Nutch结合影响搜索体验质量的因素实现搜索结果的排序。实验给出了用户搜索体验质量变化情况,反应了这些因素对于搜索结果排序及用户搜索体验质量的重要性。该实验为下一步提升用户搜索体验质量,减少搜索引擎及网络传输能耗,进而实现搜索服务整体优化工作奠定了基础。

关键词: 搜索体验质量, Web页面, 结果排序