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Issue No.06 - November/December (2001 vol.5)
pp: 32-39
ABSTRACT
<p>Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can determine a user's interest and use this information to make suggestions. The common solution, explicit ratings, where users tell the system what they think about a piece of information, is fairly well understood and precise. However, having to stop to enter explicit ratings can alter normal browsing and reading patterns. The authors developed a Web browser that records users' actions (implicit ratings) as well as an explicit rating for each page visited. Their research studies the relationship between various implicit ratings and the explicit rating for a single Web page, and the impact of implicit interest indicators on user privacy.</p>
CITATION
Mark Claypool, David Brown, Phong Le, Makoto Waseda, "Inferring User Interest", IEEE Internet Computing, vol.5, no. 6, pp. 32-39, November/December 2001, doi:10.1109/4236.968829
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