Search (30 results, page 1 of 2)

Ojala, M.: Commands that RANKle (1997) 0.08

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Abstract: Examines the RANK command on DIALOG using a statistical analysis of articles in DATABASE as an example. The RANK command was used to find authors, company names, and length of articles. Use of the command revealed a number of complexities and revealed some problematic indexing on the part of the database producers. The LEXIS-NEXIS RANK command was also used, but this fulfils a different function to the command of the same name in DIALOG
Object: LEXIS-NEXIS

Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.02

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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

Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02

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Date: 25. 8.2005 17:42:22

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

MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004) 0.01

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Date: 20. 1.2007 18:30:22

Faloutsos, C.: Signature files (1992) 0.01

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Date: 7. 5.1999 15:22:48

Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003) 0.01

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Date: 22. 3.2003 19:27:23

Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.01

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Date: 22. 8.2014 17:05:18

Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01

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Date: 13. 9.2014 14:45:22

Ravana, S.D.; Rajagopal, P.; Balakrishnan, V.: Ranking retrieval systems using pseudo relevance judgments (2015) 0.01

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Date: 20. 1.2015 18:30:22
18. 9.2018 18:22:56

Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.01

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Date: 1. 8.1996 22:08:06

Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.01

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Date: 20. 3.2005 16:23:22

Joss, M.W.; Wszola, S.: ¬The engines that can : text search and retrieval software, their strategies, and vendors (1996) 0.01

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Date: 12. 9.1996 13:56:22

Kelledy, F.; Smeaton, A.F.: Signature files and beyond (1996) 0.01

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Source: Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.01

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Date: 22. 3.2003 19:27:36

Fan, W.; Fox, E.A.; Pathak, P.; Wu, H.: ¬The effects of fitness functions an genetic programming-based ranking discovery for Web search (2004) 0.01

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Date: 31. 5.2004 19:22:06

Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.01

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Date: 11. 9.2004 17:32:22

Witschel, H.F.: Global term weights in distributed environments (2008) 0.01

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Date: 1. 8.2008 9:44:22

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