Predicting the Relevance of a Library Catalog Search.
Fuente:
ERIC Institute of Education Sciences
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| Hauptverfasser: | , |
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| Format: | Recurso educativo Open Access |
| Sprache: | en |
| Veröffentlicht: |
2001
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| _version_ | 1867180761001492480 |
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| author | Cooper, Michael D. Chen, Hui-Min |
| author_facet | Cooper, Michael D. Chen, Hui-Min Cooper, Michael D. Chen, Hui-Min |
| collection | Education Resources Information Center |
| contents | Predicting the Relevance of a Library Catalog Search. Cooper, Michael D. Chen, Hui-Min Academic Libraries Higher Education Information Retrieval Information Seeking Library Catalogs Online Catalogs Online Searching Relevance (Information Retrieval) Search Strategies User Needs (Information) World Wide Web Proposes an operational definition of relevance for a Web-based library catalog. Proposes measures that characterize user behavior while searching a Web-based library catalog. Develops a methodology to predict when a user's search will be perceived to be relevant by the user. Tests the methodology with over 900,000 user search sessions with the University of California's Melvyl Web-based library catalog. (AEF) |
| format | Recurso educativo Open Access |
| id | eric_EJ631338 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2001 |
| record_format | eric |
| spellingShingle | Predicting the Relevance of a Library Catalog Search. Cooper, Michael D. Chen, Hui-Min Academic Libraries Higher Education Information Retrieval Information Seeking Library Catalogs Online Catalogs Online Searching Relevance (Information Retrieval) Search Strategies User Needs (Information) World Wide Web Predicting the Relevance of a Library Catalog Search. Cooper, Michael D. Chen, Hui-Min Academic Libraries Higher Education Information Retrieval Information Seeking Library Catalogs Online Catalogs Online Searching Relevance (Information Retrieval) Search Strategies User Needs (Information) World Wide Web Proposes an operational definition of relevance for a Web-based library catalog. Proposes measures that characterize user behavior while searching a Web-based library catalog. Develops a methodology to predict when a user's search will be perceived to be relevant by the user. Tests the methodology with over 900,000 user search sessions with the University of California's Melvyl Web-based library catalog. (AEF) |
| title | Predicting the Relevance of a Library Catalog Search. |
| topic | Academic Libraries Higher Education Information Retrieval Information Seeking Library Catalogs Online Catalogs Online Searching Relevance (Information Retrieval) Search Strategies User Needs (Information) World Wide Web |
| url | https://eric.ed.gov/?id=EJ631338 |