DOI

Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.

Original languageEnglish
Title of host publicationSIGIR'07
Subtitle of host publicationProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages739-740
Number of pages2
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands
Duration: 23 Jul 200727 Jul 2007

Conference

Conference30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
CountryNetherlands
CityAmsterdam
Period23/07/0727/07/07

    Research areas

  • Lexical log analysis, Query reformulation model

ID: 36755340