A client side tool for contextual Web search
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/29385 |
| _version_ | 1826191256942804992 |
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| author | Lakshmanan, Hariharan, 1980- |
| author2 | John R. Williams. |
| author_facet | John R. Williams. Lakshmanan, Hariharan, 1980- |
| author_sort | Lakshmanan, Hariharan, 1980- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004. |
| first_indexed | 2024-09-23T08:53:04Z |
| format | Thesis |
| id | mit-1721.1/29385 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:53:04Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/293852019-04-10T19:33:01Z A client side tool for contextual Web search Lakshmanan, Hariharan, 1980- John R. Williams. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004. Includes bibliographical references (p. 76-77). This thesis describes the design and development of an application that uses information relevant to the context of a web search for the purpose of improving the search results obtained using standard search engines. The representation of the contextual information is based on a Vector Space Model and is obtained from a set of documents that have been identified as relevant to the context of the search. Two algorithms have been developed for using this contextual representation to re-rank the search results obtained using search engines. In the first algorithm, re-ranking is done based on a comparison of every search result with all the contextual documents. In the second algorithm, only a subset of the contextual documents that relate to the search query is used to measure the relevance of the search results. This subset is identified by mapping the search query onto the Vector Space representation of the contextual documents. A software application was developed using the .NET framework with C# as the implementation language. The software has functionality to enable users to identify contextual documents and perform searches either using a standard search engine or using the above-mentioned algorithms. The software implementation details, and preliminary results regarding the efficiency of the proposed algorithms have been presented. by Hariharan Lakshmanan. S.M. 2005-10-14T20:15:05Z 2005-10-14T20:15:05Z 2004 2004 Thesis http://hdl.handle.net/1721.1/29385 56125055 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 77 p. 2740426 bytes 2740233 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Civil and Environmental Engineering. Lakshmanan, Hariharan, 1980- A client side tool for contextual Web search |
| title | A client side tool for contextual Web search |
| title_full | A client side tool for contextual Web search |
| title_fullStr | A client side tool for contextual Web search |
| title_full_unstemmed | A client side tool for contextual Web search |
| title_short | A client side tool for contextual Web search |
| title_sort | client side tool for contextual web search |
| topic | Civil and Environmental Engineering. |
| url | http://hdl.handle.net/1721.1/29385 |
| work_keys_str_mv | AT lakshmananhariharan1980 aclientsidetoolforcontextualwebsearch AT lakshmananhariharan1980 clientsidetoolforcontextualwebsearch |