Personalizing web search with folksonomy-based user and document profiles

Vallet, D., Cantador, I. and Jose, J. (2010) Personalizing web search with folksonomy-based user and document profiles. Lecture Notes in Computer Science, 5993, pp. 420-431. (doi: 10.1007/978-3-642-12275-0_37)

Abstract

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.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Vallet, Mr David and Cantador, Dr Ivan
• Authors: Vallet, D., Cantador, I., and Jose, J.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Lecture Notes in Computer Science
• Publisher: Springer
• ISSN: 0302-9743
• ISSN (Online): 1611-3349