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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1,  Number 2,  May 2009

Issue on Computer Science

Page(s): 108-112

User Representation in Personalized Web Search using Interest Vectors

           Sendhilkumar S., and Geetha T.V.

Full text:  PDF


This work aims towards identifying the user interests by analyzing the context of search with the help Open Directory Project (ODP). The work utilizes implicit factors like the search queries used, user actions and page–view time for identifying the relevant pages to the current context of search and hence the interests of the user. The relevant pages are then assigned with categorical labels based on the ODP taxonomy. Probabilistic interest values are computed based on the implicit factors and assigned to each interest categories. The user interest categories are finally grouped into either long-term or short term interests based on the probabilistic interest values. The long and short term interest categorical labels are then utilized to build an interest vector that highlights the user’s interest on various topics and the corresponding interest values. Finally the users are represented using their respective interest vectors.

Index Terms

Web Search, Personalisation, User Interest, ODP

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