Search (49 results, page 1 of 3)

Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.15

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Date: 25. 8.2005 17:42:22
Source: Library and information research news. 24(2000) no.77, S.30-34
Year: 2000

Wechsler, M.; Schäuble, P.: ¬The probability ranking principle revisited (2000) 0.06

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Source: Information retrieval. 3(2000), S.217-227
Year: 2000

Liddy, E.D.; Diamond, T.; McKenna, M.: DR-LINK in TIPSTER (2000) 0.06

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Source: Information retrieval. 3(2000), S.291-311
Year: 2000

Horng, J.T.; Yeh, C.C.: Applying genetic algorithms to query optimization in document retrieval (2000) 0.05

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Source: Information processing and management. 36(2000) no.5, S.737-759
Year: 2000

Zhang, D.; Dong, Y.: ¬An effective algorithm to rank Web resources (2000) 0.05

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Source: Computer networks. 33(2000) nos.1/6, S.449-455
Year: 2000

Notess, G.R.: Search engine relevance : the never-ending quest (2000) 0.05

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Source: Online. 24(2000) no.3, S.35-40
Year: 2000

Kwok, K.L.: Improving English and Chinese ad-hoc retrieval : a TIPSTER text phase 3 project report (2000) 0.05

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Source: Information retrieval. 3(2000), S.313-338
Year: 2000

Clarke, C.L.A.; Cormack, G.V.; Tudhope, E.A.: Relevance ranking for one to three term queries (2000) 0.05

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Source: Information processing and management. 36(2000) no.2, S.291-311
Year: 2000

Archuby, C.G.: Interfaces se recuperacion para catalogos en linea con salidas ordenadas por probable relevancia (2000) 0.04

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Source: Ciencia da informacao. 29(2000) no.3, S.5-13
Year: 2000

Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004) 0.03
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Content

"Most Web search engines accept natural language queries, perform some kind of fuzzy matching and produce ranked output, displaying first the documents that are most likely to be relevant. On the other hand, most library online public access catalogs (OPACs) an the Web are still Boolean retrieval systems that perform exact matching, and require users to express their search requests precisely in a Boolean search language and to refine their search statements to improve the search results. It is well-documented that users have difficulty searching Boolean OPACs effectively (e.g. Borgman, 1996; Ensor, 1992; Wallace, 1993). One approach to making OPACs easier to use is to develop a natural language search interface that acts as a middleware between the user's Web browser and the OPAC system. The search interface can accept a natural language query from the user and reformulate it as a series of Boolean search statements that are then submitted to the OPAC. The records retrieved by the OPAC are ranked by the search interface before forwarding them to the user's Web browser. The user, then, does not need to interact directly with the Boolean OPAC but with the natural language search interface or search intermediary. The search interface interacts with the OPAC system an the user's behalf. The advantage of this approach is that no modification to the OPAC or library system is required. Furthermore, the search interface can access multiple OPACs, acting as a meta search engine, and integrate search results from various OPACs before sending them to the user. The search interface needs to incorporate a method for converting the user's natural language query into a series of Boolean search statements, and for ranking the OPAC records retrieved. The purpose of this study was to develop a relevancyranking algorithm for a search interface to Boolean OPAC systems. This is part of an on-going effort to develop a knowledge-based search interface to OPACs called the E-Referencer (Khoo et al., 1998, 1999; Poo et al., 2000). E-Referencer v. 2 that has been implemented applies a repertoire of initial search strategies and reformulation strategies to retrieve records from OPACs using the Z39.50 protocol, and also assists users in mapping query keywords to the Library of Congress subject headings."

Source

Electronic library. 22(2004) no.2, S.112-120

Grossman, D.A.; Frieder, O.: Information retrieval : algorithms and heuristics (1998) 0.03

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Footnote: Rez. in: JASIS 51(2000) no.11, S.1063-1064 (H.E. Williams)

Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.03

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Source: Information processing and management. 22(1986) no.6, S.465-476

Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02

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Date: 30. 3.2001 13:32:22

Baeza-Yates, R.; Navarro, G.: Block addressing indices for approximate text retrieval (2000) 0.02

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Source: Journal of the American Society for Information Science. 51(2000) no.1, S.69-82
Year: 2000

Zhu, B.; Chen, H.: Validating a geographical image retrieval system (2000) 0.02

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Source: Journal of the American Society for Information Science. 51(2000) no.7, S.625-634
Year: 2000

French, J.C.; Powell, A.L.; Schulman, E.: Using clustering strategies for creating authority files (2000) 0.02

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Source: Journal of the American Society for Information Science. 51(2000) no.8, S.774-786
Year: 2000

Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.02

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Source: Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
Year: 2000

Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.02

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Date: 14. 6.2015 22:12:44

Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.02

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Date: 14. 6.2015 22:12:56

Carpineto, C.; Romano, G.: Order-theoretical ranking (2000) 0.02

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Source: Journal of the American Society for Information Science. 51(2000) no.7, S.587-601
Year: 2000

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