Yazagan, Asli
(2010)
The Potential of Bookmark Based User Profiles.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
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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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| 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: |
http://etd.library.pitt.edu/ETD/available/etd-05042010-125657/, etd-05042010-125657 |
| Date Deposited: |
10 Nov 2011 19:43 |
| Last Modified: |
15 Nov 2016 13:43 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/7778 |
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