Building User Profiles Based on Preference Networks

As the number of internet users grows rapidly, it is important to provide more relevant results for the individual user. It can be achieved by the agent that tracks and monitors user’s behavior. Users search behavior is stored in the form of profile.User’s interest is analysed based on various factors like query,usage count,concept age etc.The proposed work in the profile construction includes following tasks,(i)Extraction of intents(set of keyword extracted from top k documents)(ii)Construction of preference network(iii)Creation and updating of the user profile.These profiles could be used to retrieve the prefered search results.Profile is organised in an hierarachial way so the particular concept along with the keywords can be viewed easily.User interest is tracked in a better way and it would improve the search results with more precision.