Dynamic Grouping of Semantically Similar User Search Histories
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 2
Abstract
Users over Internet make queries continuously for various kinds of information. Such information might be about various tasks and that is done through existing search engines. When queries are made by users continuously, over a period of time, the queries are plenty. The existing search engines organize such queries only in chronological order. However, when the quires are grouped together based on the relevancy that might be very useful to users as they can reuse queries with ease. Hwang et al. studied this problem recently and proposed mechanisms that help in grouping or organizing user search histories in useful fashion. This organization of user search histories can have various real time utilities such as result ranking, query alternations, query suggestions, sessionization and collaborative search. In this paper we implement algorithms that are used to group user search histories. We built a web based prototype that demonstrates the proof of concept. The empirical results are encouraging.
Authors and Affiliations
A. S. Saleem Basha , V. Trilik Kumar
Keywords
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