Data Mining Techniques in User Profile Personalization
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Abstract
A particular user's expectation from his/her desktop or digital device is quite different from the expectations of a group of users for the same device. This implies that the behaviour of services and processes on the user's personal computing device to suit a user's preferences will not just ease the usage of these devices but also make them more sensitive to an individual's preferences giving an intuitive and natural interactive experience. In this work we look at two such areas: web search personalization and personalized organization of downloaded files on these personal devices. We use the documents of interest to the user and the user's download history to build a user profile. This profile is then used to re-rank web search results and identify preferred download locations. The results from experiments done in both areas are encouraging.
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