Modeling and visualizing geo-sensitive queries based on user clicks

Ziming Zhuang, Cliff Brunk, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

The number of search queries that are associated with geographical locations, either explicitly or implicitly, has been quadrupled in recent years. For such geo-sensitive queries, the ability to accurately infer users' geographical preference greatly enhances their search experience. By mining past user clicks and constructing a geographical click probability distribution model, we address two important issues in spatial Web search: how do we determine whether a search query is geo-sensitive, and how do we detect, disambiguate, and visualize the associated geographical location(s). We present our empirical study on a large-scale dataset with about 9,000 unique queries randomly drawn from the logs of a popular commercial search engine Yahoo! Search, and about 430 million user clicks on 1.6M unique Web pages over an eight-month period. Our classification method achieved recall of 0.98 and precision of 0.75 in identifying geo-sensitive search queries. We also present our preliminary findings in using geographical click probability distributions to cluster search results for queries with geographical ambiguities.

Original languageEnglish (US)
Title of host publicationLocWeb 2008 - Proceedings of the 1st International Workshop on Location and the Web, in Conjunction with the WWW 2008 Conference
Pages73-76
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event1st International Workshop on Location and the Web, LocWeb 2008, in Conjunction with the WWW 2008 Conference - Beijing, China
Duration: Apr 22 2008Apr 22 2008

Publication series

NameACM International Conference Proceeding Series
Volume300

Other

Other1st International Workshop on Location and the Web, LocWeb 2008, in Conjunction with the WWW 2008 Conference
CountryChina
CityBeijing
Period4/22/084/22/08

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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    Zhuang, Z., Brunk, C., & Giles, C. L. (2008). Modeling and visualizing geo-sensitive queries based on user clicks. In LocWeb 2008 - Proceedings of the 1st International Workshop on Location and the Web, in Conjunction with the WWW 2008 Conference (pp. 73-76). (ACM International Conference Proceeding Series; Vol. 300). https://doi.org/10.1145/1367798.1367811