A statistical model of query log generation

被引：0
|
作者：
Dupret, Georges [1 ]
Piwowarski, Benjamin [1 ]
Hurtado, Carlos [1 ]
Mendoza, Marcelo [1 ]
机构：
[1] Univ Chile, Dept Ciencias Computac, Santiago, Chile
来源：
STRING PROCESSING AND INFORMATION RETRIEVAL, PROCEEDINGS | 2006年 / 4209卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Query logs record past query sessions across a time span. A statistical model is proposed to explain the log generation process. Within a search engine list of results, the model explains the document selection - a user's click - by taking into account both a document position and its popularity. We show that it is possible to quantify this influence and consequently estimate document "un-biased" popularities. Among other applications, this allows to re-order the result list to match more closely user preferences and to use the logs as a feedback to improve search engines.
引用
收藏
页码：217 / 228
页数：12
相关论文
共 50 条
  • [21] Query Log Compression for Workload Analytics
    Xie, Ting
    Chandola, Varun
    Kennedy, Oliver
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2018, 12 (03): : 183 - 196
  • [22] Analysis of An Expert Search Query Log
    Fang, Yi
    Somasundaram, Naveen
    Si, Luo
    Ko, Jeongwoo
    Mathur, Aditya P.
    PROCEEDINGS OF THE 34TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR'11), 2011, : 1189 - 1190
  • [23] Building a Query Log via Crowdsourcing
    Alonso, Omar
    Stone, Maria
    SIGIR'14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2014, : 939 - 942
  • [24] A study of Poisson query generation model for information retrieval
    Mei, Qiaozhu
    Fang, Hui
    Zhai, Chengxiang
    Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, : 319 - 326
  • [25] Guided Navigation Using Query Log Mining through Query Expansion
    Yurekli, Burcu
    Capan, Gokhan
    Yilmazel, Baris
    Yilmazel, Ozgur
    NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY, 2009, : 560 - 564
  • [26] Generalizing the Pareto to the log-Pareto model and statistical inference
    Cormann, Ulf
    Reiss, Rolf-Dieter
    EXTREMES, 2009, 12 (01) : 93 - 105
  • [27] Pseudo-relevance feedback and statistical query expansion for web snippet generation
    Ko, Youngjoong
    An, Hongkuk
    Seo, Jungyun
    INFORMATION PROCESSING LETTERS, 2008, 109 (01) : 18 - 22
  • [28] Generalizing the Pareto to the log-Pareto model and statistical inference
    Ulf Cormann
    Rolf-Dieter Reiss
    Extremes, 2009, 12 : 93 - 105
  • [29] Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction
    Sim, Sung-Hyun
    Bae, Hyerim
    Choi, Yulim
    Liu, Ling
    INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS, 2018, 27 (02)
  • [30] Combining Query Ambiguity and Query-URL Strength for Log-Based Query Suggestion
    Ye, Feiyue
    Sun, Jing
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II, 2016, 9713 : 590 - 597
12345