Towards click-based models of geographic interests in Web search

Ziming Zhuang, Cliff Brunk, Prasenjit Mitra, C. Lee Giles

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

2 Scopus citations

Abstract

With the recent surge in the volume of search queries that explicitly or implicitly express users' geographical interests, to accurately infer users' locality preference becomes an increasingly important yet challenging issue. We study two click-based models of the distribution of such geographical interests by mining the user click stream data in the search engine logs, addressing three important issues in spatial Web search. First, search queries and documents can be classified by the models according to their spatial specificity. Second, the geographic center(s) of interests for queries and documents can be inferred. Finally, the model can be applied to generate relevance features for search ranking. We evaluated our proposals on a large dataset with about 10,000 unique queries sampled from the Yahoo! Search query logs, and about 450 million user clicks on 1.4 million unique Web pages over a six-months period. We report about 90% accuracy and about 3% false positive rate in identifying search queries with or without specific geographical interests, as well as statistically significant improvement in relevance ranking over a strong baseline.

Original languageEnglish (US)
Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Pages293-299
Number of pages7
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia
Duration: Dec 9 2008Dec 12 2008

Publication series

NameProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

Other

Other2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
CountryAustralia
CitySydney, NSW
Period12/9/0812/12/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Towards click-based models of geographic interests in Web search'. Together they form a unique fingerprint.

  • Cite this

    Zhuang, Z., Brunk, C., Mitra, P., & Giles, C. L. (2008). Towards click-based models of geographic interests in Web search. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (pp. 293-299). [4740463] (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008). https://doi.org/10.1109/WIIAT.2008.365