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The Potential of Bookmark Based User Profiles

Yazagan, Asli (2010) The Potential of Bookmark Based User Profiles. Master's Thesis, University of Pittsburgh. (Unpublished)

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Driven by the explosive growth of information available online, the World-Wide-Web is currently witnessing a trend towards personalized information access. As part of this trend, numerous personalized news services are emerging. The goal of this project is to develop a prototype algorithm for using bookmarks to develop a personal profile. Ultimately, we imagine this might be used to construct a personalized RSS reader for reading news online. A reader returns a large number of news stories. To increase user satisfaction it is useful to rank them to bring the most interesting to the fore. This ranking is done by implementing a personalized profile. One way to create such a profile might be to extract it from user's bookmarks. In this paper, we describe a process for learning user interest from bookmarks and present an evaluation of its effectiveness. The goal is to utilize a user profile based on bookmarks to personalize results by filtering and re-ranking the entries returned from a set of user defined feeds.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Yazagan, Asliasy10@pitt.eduASY10
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSpring, Michael Bspring@pitt.eduSPRING
Committee MemberLewis, C Michaelml@sis.pitt.eduCMLEWIS
Committee MemberHirtle, Stephen Chirtle@pitt.eduHIRTLE
Date: 12 May 2010
Date Type: Completion
Defense Date: 29 April 2010
Approval Date: 12 May 2010
Submission Date: 4 May 2010
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: MSIS - Master of Science in Information Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: personalization; user profiles; bookmarks; data mining
Other ID:, etd-05042010-125657
Date Deposited: 10 Nov 2011 19:43
Last Modified: 15 Nov 2016 13:43


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