Supporting finding and re-finding through personalization

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.

Bibliographic Details
Main Author: Teevan, Jaime B. (Jaime Brooks), 1976-
Other Authors: David R. Karger.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/38536
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author Teevan, Jaime B. (Jaime Brooks), 1976-
author2 David R. Karger.
author_facet David R. Karger.
Teevan, Jaime B. (Jaime Brooks), 1976-
author_sort Teevan, Jaime B. (Jaime Brooks), 1976-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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spelling mit-1721.1/385362019-04-12T08:52:48Z Supporting finding and re-finding through personalization Teevan, Jaime B. (Jaime Brooks), 1976- David R. Karger. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 165-176). Although one of the most common uses for the Internet to search for information, Web search tools often fail to connect people with what they are looking for. This is because search tools are designed to satisfy people in general, not the searcher in particular. Different individuals with different information needs often type the same search terms into a search box and expect different results. For example, the query "breast cancer" may be used by a student to find information on the disease for a fifth grade science report, and by a cancer patient to find treatment options. This thesis explores how Web search personalization can help individuals take advantage of their unique past information interactions when searching. Several studies of search behavior are presented and used to inform the design of a personalized search system that significantly improves result quality. Without requiring any extra effort from the user, the system is able to return simple breast cancer tutorials for the fifth grader's "breast cancer" query, and lists of treatment options for the patient's. While personalization can help identify relevant new information, new information can create problems re-finding when presented in a way that does not account for previous information interactions. (cont.) Consider the cancer patient who repeats a search for breast cancer treatments: she may want to learn about new treatments while reviewing the information she found earlier about her current treatment. To not interfere with refinding, repeat search results should be personalized not by ranking the most relevant results first, but rather by ranking them where the user most expects them to be. This thesis presents a model of what people remember about search results, and shows that it is possible to invisibly merge new information into previously viewed search result lists where information has been forgotten. Personalizing repeat search results in this way enables people to effectively find both new and old information using the same search result list. by Jaime Teevan. Ph.D. 2007-08-29T19:07:10Z 2007-08-29T19:07:10Z 2007 2007 Thesis http://hdl.handle.net/1721.1/38536 164886030 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 176 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Teevan, Jaime B. (Jaime Brooks), 1976-
Supporting finding and re-finding through personalization
title Supporting finding and re-finding through personalization
title_full Supporting finding and re-finding through personalization
title_fullStr Supporting finding and re-finding through personalization
title_full_unstemmed Supporting finding and re-finding through personalization
title_short Supporting finding and re-finding through personalization
title_sort supporting finding and re finding through personalization
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/38536
work_keys_str_mv AT teevanjaimebjaimebrooks1976 supportingfindingandrefindingthroughpersonalization