Personalization of search profile using ant foraging approach

Authors:
Pattira Phinitkar;Peraphon Sophatsathit
Affiliations:
Advanced Virtual and Intelligent Computing (AVIC) Research Center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand;Advanced Virtual and Intelligent Computing (AVIC) Research Center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
Venue:
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2010

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Abstract

This paper proposes a three-stage analysis of web navigation that yields search results being relevant to the user’s interests and preferences. The approach is inspired by ant foraging behavior. The first stage focuses on a user’s profile based on the web pages visited to be proportional with the amount of pheromone deposited by the ants. The level of pheromone denotes scores of user’s interest. The second stage classifies the user’s profile data. The final stage personalizes the search results based on the user’s profile. Search results, which may span across a wide range of document archives and scatter over the Internet, will then be logically grouped by category for easy access and meaningful use. The experiments mainly consider the search results with reference to the user’s profile in presenting the most relevant information to the user.