An Adaptive User Profile for Filtering News Based on a User Interest Hierarchy

Singh, Sarabdeep, Shepherd, Michael, Duffy, Jack and Watters, Carolyn An Adaptive User Profile for Filtering News Based on a User Interest Hierarchy., 2006 . In 69th Annual Meeting of the American Society for Information Science and Technology (ASIST), Austin (US), 3-8 November 2006. [Conference paper]

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English abstract

A prototype system for the filtering and ranking of news items has been developed and a pilot test has been conducted. The user’s interests are modeled by a user interest hierarchy based on explicit user feedback with adaptive learning after each session. The system learned very quickly, reaching normalized recall values of over 0.9 within three sessions. When the user’s interests “drifted”, the system adapted but the speed with which it adapted seemed dependent on the amount of feedback provided by the user.

Item type: Conference paper
Keywords: news reading ; news filters ; user behavior ; personalization ; information needs
Subjects: B. Information use and sociology of information > BH. Information needs and information requirements analysis.
C. Users, literacy and reading. > CB. User studies.
I. Information treatment for information services > II. Filtering.
H. Information sources, supports, channels. > HZ. None of these, but in this section.
Depositing user: Norm Medeiros
Date deposited: 10 Jan 2007
Last modified: 02 Oct 2014 12:06
URI: http://hdl.handle.net/10760/8789

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