Search (157 results, page 2 of 8)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2000 TO 2010}
  1. Zhang, D.; Dong, Y.: ¬An effective algorithm to rank Web resources (2000) 0.00 
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    Computer networks. 33(2000) nos.1/6, S.449-455
  2. Notess, G.R.: Search engine relevance : the never-ending quest (2000) 0.00 
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    Online. 24(2000) no.3, S.35-40
  3. Kwok, K.L.: Improving English and Chinese ad-hoc retrieval : a TIPSTER text phase 3 project report (2000) 0.00 
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    Information retrieval. 3(2000), S.313-338
  4. Clarke, C.L.A.; Cormack, G.V.; Tudhope, E.A.: Relevance ranking for one to three term queries (2000) 0.00 
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    Information processing and management. 36(2000) no.2, S.291-311
  5. Chung, Y.M.; Lee, J.Y.: Optimization of some factors affecting the performance of query expansion (2004) 0.00 
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    Information processing and management. 40(2004) no.6, S.891-
  6. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 0.00 
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    Journal of information science. 29(2003) no.2, S.87-96
  7. Na, S.-H.; Kang, I.-S.; Roh, J.-E.; Lee, J.-H.: ¬An empirical study of query expansion and cluster-based retrieval in language modeling approach (2007) 0.00 
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    Information processing and management. 43(2007) no.2, S.302-314
  8. Torra, V.; Miyamoto, S.; Lanau, S.: Exploration of textual document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system (2005) 0.00 
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    Information processing and management. 41(2005) no.3, S.587-598
  9. Figuerola, C.G.; Zazo, A.F.; Berrocal, J.L.A.: ¬La interaccion con el usuario en los sistemas de cuperacion de informacion realimentacion por relecvancia (2002) 0.00 
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    Scire. 8(2002) no.1, S.87-94
  10. Okada, M.; Ando, K.; Lee, S.S.; Hayashi, Y.; Aoe, J.I.: ¬An efficient substring search method by using delayed keyword extraction (2001) 0.00 
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    Information processing and management. 37(2001) no.5, S.741-761
  11. Silveira, M.; Ribeiro-Neto, B.: Concept-based ranking : a case study in the juridical domain (2004) 0.00 
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    Information processing and management. 40(2004) no.5, S.791-806
  12. Bodoff, D.; Robertson, S.: ¬A new unified probabilistic model (2004) 0.00 
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    Abstract
    This paper proposes a new unified probabilistic model. Two previous models, Robertson et al.'s "Model 0" and "Model 3," each have strengths and weaknesses. The strength of Model 0 not found in Model 3, is that it does not require relevance data about the particular document or query, and, related to that, its probability estimates are straightforward. The strength of Model 3 not found in Model 0 is that it can utilize feedback information about the particular document and query in question. In this paper we introduce a new unified probabilistic model that combines these strengths: the expression of its probabilities is straightforward, it does not require that data must be available for the particular document or query in question, but it can utilize such specific data if it is available. The model is one way to resolve the difficulty of combining two marginal views in probabilistic retrieval.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.6, S.471-487
  13. Herrera-Viedma, E.; Cordón, O.; Herrera, J.C.; Luqe, M.: ¬An IRS based on multi-granular lnguistic information (2003) 0.00 
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    Abstract
    An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic values represented by the linguistic variable "Importance" assessed an a label set S. The system evaluates the weighted queries according to a threshold semantic and obtains the linguistic retrieval status values (RSV) of documents represented by a linguistic variable "Relevance" expressed in a different label set S'. The advantage of this linguistic IRS with respect to others is that the use of the multi-granular linguistic information facilitates and improves the IRS-user interaction
    Pages
    S.372-378
  14. Archuby, C.G.: Interfaces se recuperacion para catalogos en linea con salidas ordenadas por probable relevancia (2000) 0.00 
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    Ciencia da informacao. 29(2000) no.3, S.5-13
  15. Weinstein, A.: Hochprozentig : Tipps and tricks für ein Top-Ranking (2002) 0.00 
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    Internet Professionell. 2002, H.9, S.66-71
  16. Liu, A.; Zou, Q.; Chu, W.W.: Configurable indexing and ranking for XML information retrieval (2004) 0.00 
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    Pages
    S.88-95
  17. Sparck Jones, K.: IDF term weighting and IR research lessons (2004) 0.00 
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    Journal of documentation. 60(2004) no.5, S.521-523
  18. Dreßler, H.: Fuzzy Information Retrieval (2008) 0.00 
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    Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.351-352
  19. Heinz, S.; Zobel, J.: Efficient single-pass index construction for text databases (2003) 0.00 
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    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.713-729
  20. Robertson, S.: Understanding inverse document frequency : on theoretical arguments for IDF (2004) 0.00 
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    Source
    Journal of documentation. 60(2004) no.5, S.503-520

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  • d 19
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  • m 8
  • x 6
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