Personalizing web search with folksonomy-based user and document profiles

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-12275-0_37Proceedings of 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exploited distinguishes the different personalization strategies. In this paper, we propose to represent a user profile in terms of social tags, manually provided by users in folksonomy systems to describe, categorize and organize items of interest, and investigate a number of novel techniques that exploit the users’ social tags to re-rank results obtained with a Web search engine. An evaluation conducted with a dataset from Delicious social bookmarking system shows that our personalization techniques clearly outperform state of the art approaches.This research was supported by the European Commission under contract FP6-027122-SALERO and by the Spanish Ministry of Science and Education (TIN2008-06566-C04-02