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Evaluation Methods | 8 |
Search Engines | 8 |
World Wide Web | 8 |
Information Retrieval | 5 |
Users (Information) | 4 |
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Cook, Douglas | 1 |
Kanza, Yaron | 1 |
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Nutt, Werner | 1 |
Rasmussen, Edie M. | 1 |
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Watters, Carolyn; Amoudi, Ghada – Proceedings of the ASIST Annual Meeting, 2002
Discusses search engines and describes a prototype system that provides dynamic ranking of search engine results for geospatial queries based on the URL of the host site. Evaluates this approach using user queries and random Web pages, making a contribution to Web retrieval by providing an alternative ranking order for search engine results.…
Descriptors: Evaluation Methods, Geography, Information Retrieval, Search Engines

Bar-Ilan, Judit – Journal of the American Society for Information Science and Technology, 2002
Introduces methods for evaluating Web search engine performance over a time period. Describes the necessary setup for such studies, illustrates the use of these measures through a specific example, and recommends the use of the measures as a guideline for testing and improving search engine functionality. (Author/LRW)
Descriptors: Evaluation Methods, Guidelines, Measurement Techniques, Online Searching

Cohen, Sara; Kanza, Yaron; Kogan, Yakov; Sagiv, Yehoshua; Nutt, Werner; Serebrenik, Alexander – Journal of the American Society for Information Science and Technology, 2002
Describes EquiX, a search language for XML that combines querying with searching to query the data and the meta-data content of Web pages. Topics include search engines; a data model for XML documents; search query syntax; search query semantics; an algorithm for evaluating a query on a document; and indexing EquiX queries. (LRW)
Descriptors: Algorithms, Evaluation Methods, Indexing, Information Retrieval

Cook, Douglas – Research Strategies, 2000
Describes a collaborative workshop designed by the Associated College Libraries of Central Pennsylvania to identify and teach World Wide Web search skills to librarians. Highlights include how information get on the Web and is indexed; evaluation of Web resources; types of search sites; and which search engine is the best. (Author/LRW)
Descriptors: Academic Libraries, Evaluation Methods, Higher Education, Indexing

Rasmussen, Edie M. – Annual Review of Information Science and Technology (ARIST), 2003
Explores current research on indexing and ranking as retrieval functions of search engines on the Web. Highlights include measuring search engine stability; evaluation of Web indexing and retrieval; Web crawlers; hyperlinks for indexing and ranking; ranking for metasearch; document structure; citation indexing; relevance; query evaluation;…
Descriptors: Citation Indexes, Evaluation Methods, Indexing, Information Retrieval

Spink, Amanda – Information Processing & Management, 2002
Explores a user-centered approach to evaluating the Web search engine Inquirus. Inquirus was rated highly by users on various usability measures; all users experienced some level of shift/change in their information problem, information seeking, and personal knowledge due to their Inquirus interaction; and different users experienced different…
Descriptors: Evaluation Methods, Information Seeking, Interaction, Man Machine Systems

Su, Louise T. – Journal of the American Society for Information Science and Technology, 2003
Reports on a project that proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. This article describes the model, including a set of criteria and measures and a method for implementation. A literature review portrays settings for developing the model and places applications of the model in contemporary…
Descriptors: Evaluation Criteria, Evaluation Methods, Information Retrieval, Information Systems

Su, Louise T. – Journal of the American Society for Information Science and Technology, 2003
Presents an application of a model of user evaluation of four major Web search engines (Alta Vista, Excite, Infoseek, and Lycos) by undergraduates. Evaluation was based on 16 performance measures representing five evaluation criteria-relevance, efficiency, utility, user satisfaction, and connectivity. Content analysis of verbal data identified a…
Descriptors: Evaluation Criteria, Evaluation Methods, Higher Education, Information Retrieval