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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Interest Aware Recommendations Based on Adaptive User Profiling
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
Although the World Wide Web has evolved to be an enormous resource over the last decade, sifting through all the information available poses a significant challenge to users as there is simply too much information available. Therefore, systems that support users by performing personalized information filtering or search are becoming increasingly important. This paper presents a mechanism which provides recommendations based on a user profile that adapts to the changing user interests. Taking the multiple and diverse information needs of the user into consideration, the proposed mechanism constructs a user profile that adapts according to the changing user requirements.
Index Terms:
user profiling, adaptation, ranking, personalised recommdendations
Citation:
Muhammad Ali Zeb, Maria Fasli, "Interest Aware Recommendations Based on Adaptive User Profiling," wi-iat, vol. 3, pp.357-360, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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