2026-09-18T22:58:05Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/531742022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David Elworthy and Regina Barzilay.
Nguyen, Huy, M. Eng (Huy Le). Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-03-25T15:10:26Z
2010-03-25T15:10:26Z
2009
2009
http://hdl.handle.net/1721.1/53174
518049865
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Includes bibliographical references (p. 69-73).
In this thesis, we describe various experiments on the ranking function of the Google Search Appliance to improve search quality. An evolutionary computation framework is implemented and applied to optimize various parameter settings of the ranking function. We evaluate the importance of IDF in the ranking function and achieve small improvements in performance. We also examine many ways to combining the query-independent and query-dependent scores. Lastly, we perform various experiments with signals based on the positions of the query terms in the document.
by Huy Nguyen.
M.Eng.
73 p.
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Improving search quality of the Google search appliance
Thesis
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