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Evalution of search engines: A case study using retrieval effectiveness

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dc.contributor.advisor Dr Francis Jawahar Devadason (Chairman) en_US
dc.contributor.advisor Dr. Qi Yulu (Member) en_US
dc.contributor.advisor Dr. Vatcharapron Esichiakul (Member) en_US
dc.contributor.author Aimvalee Varinsathien en_US
dc.date.accessioned 2015-01-12T10:44:19Z
dc.date.available 2015-01-12T10:44:19Z
dc.date.issued 2000 en_US
dc.identifier.other AIT Thesis no.IM0021 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/498
dc.description 68 p. en_US
dc.description.abstract Evaluation of Search Engines: A Case Study Using Retrieval Effectiveness describes an experiment to evaluate Web search engines by using an information retrieval evaluation criteria. The aim of this study is to create a standard experiment for evaluating the selected Web search engines. This study does not attempt to evaluate the inner-workings of search engines. The evaluation uses the retrieval performance of Information Retrieval System (i.e. precision, recall and coverage) to evaluate Indexed Search Engines (i.e. AltaVista, Google, Infoseek and Northern Light) and Directory Search Engines (i.e. About, Open Directory, WWW Virtual Library, and Yahoo). The same ten search queries drawn from the thesis topics of the Computer Science and Information Management program of the Asian Institute of Technology are used to test all selected Web search engines. Clarke and Willett’s method is applied to estimate the recall value in this experiment. A means to rank the most effective search engine by calculating overall weighted average values from precision, recall, and coverage is proposed. Finally, this research will be useful and could enable Web users to select a search engine appropriate to their specific search needs. In addition, it will eventually help Web search engine developer design even better ones for the Internet community. en_US
dc.description.sponsorship Self-support en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Search engines en_US
dc.title Evalution of search engines: A case study using retrieval effectiveness en_US
dc.type Thesis en_US


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