Search (31 results, page 1 of 2)

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

Mandl, T.: Web- und Multimedia-Dokumente : Neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen (2003) 0.03
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Abstract

Die Menge an Daten im Internet steigt weiter rapide an. Damit wächst auch der Bedarf an qualitativ hochwertigen Information Retrieval Diensten zur Orientierung und problemorientierten Suche. Die Entscheidung für die Benutzung oder Beschaffung von Information Retrieval Software erfordert aussagekräftige Evaluierungsergebnisse. Dieser Beitrag stellt neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen vor und zeigt den Trend zu Spezialisierung und Diversifizierung von Evaluierungsstudien, die den Realitätsgrad derErgebnisse erhöhen. DerSchwerpunkt liegt auf dem Retrieval von Fachtexten, Internet-Seiten und Multimedia-Objekten.

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

Lanvent, A.: Know-how - Suchverfahren : Intelligente Suchmaschinen erzielen mit assoziativen und linguistischen Verfahren beste Ergebnisse. (2004) 0.02

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Footnote: Teilbeitrag in: Licht im Daten Chaos

Lanvent, A.: Praxis - Windows-Suche und Indexdienst : Auch Windows kann bei der Suche den Turbo einlegen: mit dem Indexdienst (2004) 0.02

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Footnote: Teilbeitrag in: Licht im Daten Chaos

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

Lanvent, A.: Licht im Daten Chaos (2004) 0.01

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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

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