Search (94 results, page 4 of 5)

  • × language_ss:"e"
  • × theme_ss:"Retrievalalgorithmen"
  1. Dominich, S.; Skrop, A.: PageRank and interaction information retrieval (2005) 0.01 
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    Abstract
    The PageRank method is used by the Google Web search engine to compute the importance of Web pages. Two different views have been developed for the Interpretation of the PageRank method and values: (a) stochastic (random surfer): the PageRank values can be conceived as the steady-state distribution of a Markov chain, and (b) algebraic: the PageRank values form the eigenvector corresponding to eigenvalue 1 of the Web link matrix. The Interaction Information Retrieval (1**2 R) method is a nonclassical information retrieval paradigm, which represents a connectionist approach based an dynamic systems. In the present paper, a different Interpretation of PageRank is proposed, namely, a dynamic systems viewpoint, by showing that the PageRank method can be formally interpreted as a particular case of the Interaction Information Retrieval method; and thus, the PageRank values may be interpreted as neutral equilibrium points of the Web.
  2. Kwok, K.L.: ¬A network approach to probabilistic information retrieval (1995) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Nie, J.-Y.: Query expansion and query translation as logical inference (2003) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. Zhang, W.; Yoshida, T.; Tang, X.: ¬A comparative study of TF*IDF, LSI and multi-words for text classification (2011) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  7. Lempel, R.; Moran, S.: SALSA: the stochastic approach for link-structure analysis (2001) 0.00 
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  8. Lavrenko, V.: ¬A generative theory of relevance (2009) 0.00 
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    Footnote
    Rez. in: JASIST 60(2009) no.12, S.2587-2588 (R. Luk)
  9. Liu, R.-L.; Huang, Y.-C.: Ranker enhancement for proximity-based ranking of biomedical texts (2011) 0.00 
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  10. Hubert, G.; Pitarch, Y.; Pinel-Sauvagnat, K.; Tournier, R.; Laporte, L.: TournaRank : when retrieval becomes document competition (2018) 0.00 
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  11. González-Ibáñez, R.; Esparza-Villamán, A.; Vargas-Godoy, J.C.; Shah, C.: ¬A comparison of unimodal and multimodal models for implicit detection of relevance in interactive IR (2019) 0.00 
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  12. Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960) 0.00 
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.39-46.
  13. Kantor, P.; Kim, M.H.; Ibraev, U.; Atasoy, K.: Estimating the number of relevant documents in enormous collections (1999) 0.00 
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  14. Chen, H.; Lally, A.M.; Zhu, B.; Chau, M.: HelpfulMed : Intelligent searching for medical information over the Internet (2003) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  15. Quiroga, L.M.; Mostafa, J.: ¬An experiment in building profiles in information filtering : the role of context of user relevance feedback (2002) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  16. Schaefer, A.; Jordan, M.; Klas, C.-P.; Fuhr, N.: Active support for query formulation in virtual digital libraries : a case study with DAFFODIL (2005) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  17. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.00 
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  18. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  19. Liu, X.; Zheng, W.; Fang, H.: ¬An exploration of ranking models and feedback method for related entity finding (2013) 0.00 
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  20. Xu, B.; Lin, H.; Lin, Y.: Assessment of learning to rank methods for query expansion (2016) 0.00 
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    Semantisches Umfeld in Indexierung u. Retrieval

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