Search (51 results, page 2 of 3)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2000 TO 2010}
  1. Vechtomova, O.; Karamuftuoglu, M.: Lexical cohesion and term proximity in document ranking (2008) 0.01 
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  2. Lalmas, M.: XML retrieval (2009) 0.01 
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    Type
    m
  3. Boughanem, M.; Chrisment, C.; Tamine, L.: On using genetic algorithms for multimodal relevance optimization in information retrieval (2002) 0.01 
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  4. Losee, R.M.; Church Jr., L.: Are two document clusters better than one? : the cluster performance question for information retrieval (2005) 0.01 
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    Abstract
    When do information retrieval systems using two document clusters provide better retrieval performance than systems using no clustering? We answer this question for one set of assumptions and suggest how this may be studied with other assumptions. The "Cluster Hypothesis" asks an empirical question about the relationships between documents and user-supplied relevance judgments, while the "Cluster Performance Question" proposed here focuses an the when and why of information retrieval or digital library performance for clustered and unclustered text databases. This may be generalized to study the relative performance of m versus n clusters.
  5. Vechtomova, O.; Karamuftuoglu, M.: Elicitation and use of relevance feedback information (2006) 0.01 
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  6. Lalmas, M.: XML information retrieval (2009) 0.01 
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  7. García Cumbreras, M.A.; Perea-Ortega, J.M.; García Vega, M.; Ureña López, L.A.: Information retrieval with geographical references : relevant documents filtering vs. query expansion (2009) 0.01 
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  8. Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004) 0.01 
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    Source
    Electronic library. 22(2004) no.2, S.112-120
  9. Computational information retrieval (2001) 0.00 
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  10. Kaszkiel, M.; Zobel, J.: Effective ranking with arbitrary passages (2001) 0.00 
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  11. Stock, M.; Stock, W.G.: Internet-Suchwerkzeuge im Vergleich (IV) : Relevance Ranking nach "Popularität" von Webseiten: Google (2001) 0.00 
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  12. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.00 
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  13. Käki, M.: fKWIC: frequency-based Keyword-in-Context Index for filtering Web search results (2006) 0.00 
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  14. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.00 
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  15. Yang, L.; Ji, D.; Leong, M.: Document reranking by term distribution and maximal marginal relevance for chinese information retrieval (2007) 0.00 
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  16. Desai, M.; Spink, A.: ¬A algorithm to cluster documents based on relevance (2005) 0.00 
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  17. Efron, M.: Query expansion and dimensionality reduction : Notions of optimality in Rocchio relevance feedback and latent semantic indexing (2008) 0.00 
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  18. Chang, M.; Poon, C.K.: Efficient phrase querying with common phrase index (2008) 0.00 
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  19. Nagelschmidt, M.: Verfahren zur Anfragemodifikation im Information Retrieval (2008) 0.00 
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  20. Bar-Ilan, J.; Levene, M.; Mat-Hassan, M.: Methods for evaluating dynamic changes in search engine rankings : a case study (2006) 0.00 
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Authors

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  • e 45
  • d 5
  • m 1
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  • a 42
  • m 8
  • s 2
  • el 1
  • x 1
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