-
Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003)
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- Source
- Journal of information science. 29(2003) no.2, S.87-96
-
Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003)
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- Date
- 22. 3.2003 19:27:23
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.285-301
-
Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014)
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- Date
- 22. 8.2014 17:05:18
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1939-1943
-
Baloh, P.; Desouza, K.C.; Hackney, R.: Contextualizing organizational interventions of knowledge management systems : a design science perspectiveA domain analysis (2012)
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- Abstract
- We address how individuals' (workers) knowledge needs influence the design of knowledge management systems (KMS), enabling knowledge creation and utilization. It is evident that KMS technologies and activities are indiscriminately deployed in most organizations with little regard to the actual context of their adoption. Moreover, it is apparent that the extant literature pertaining to knowledge management projects is frequently deficient in identifying the variety of factors indicative for successful KMS. This presents an obvious business practice and research gap that requires a critical analysis of the necessary intervention that will actually improve how workers can leverage and form organization-wide knowledge. This research involved an extensive review of the literature, a grounded theory methodological approach and rigorous data collection and synthesis through an empirical case analysis (Parsons Brinckerhoff and Samsung). The contribution of this study is the formulation of a model for designing KMS based upon the design science paradigm, which aspires to create artifacts that are interdependent of people and organizations. The essential proposition is that KMS design and implementation must be contextualized in relation to knowledge needs and that these will differ for various organizational settings. The findings present valuable insights and further understanding of the way in which KMS design efforts should be focused.
- Date
- 11. 6.2012 14:22:34
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.948-966
-
Moffat, A.; Bell, T.A.H.: In situ generation of compressed inverted files (1995)
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- Date
- 27.11.1995 21:29:58
- Source
- Journal of the American Society for Information Science. 46(1995) no.7, S.537-550
-
Cannane, A.; Williams, H.E.: General-purpose compression for efficient retrieval (2001)
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- Date
- 29. 9.2001 13:59:55
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.5, S.430-437
-
Kaszkiel, M.; Zobel, J.: Effective ranking with arbitrary passages (2001)
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- Date
- 29. 9.2001 14:00:39
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.4, S.344-364
-
Bodoff, D.; Enache, D.; Kambil, A.; Simon, G.; Yukhimets, A.: ¬A unified maximum likelihood approach to document retrieval (2001)
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- Date
- 29. 9.2001 17:52:51
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.10, S.785-796
-
Käki, M.: fKWIC: frequency-based Keyword-in-Context Index for filtering Web search results (2006)
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- Abstract
- Enormous Web search engine databases combined with short search queries result in large result sets that are often difficult to access. Result ranking works fairly well, but users need help when it fails. For these situations, we propose a filtering interface that is inspired by keyword-in-context (KWIC) indices. The user interface lists the most frequent keyword contexts (fKWIC). When a context is selected, the corresponding results are displayed in the result list, allowing users to concentrate on the specific context. We compared the keyword context index user interface to the rank order result listing in an experiment with 36 participants. The results show that the proposed user interface was 29% faster in finding relevant results, and the precision of the selected results was 19% higher. In addition, participants showed positive attitudes toward the system.
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1606-1615
-
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)
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- Date
- 22. 3.2003 19:27:36
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.281-284
-
Fan, W.; Fox, E.A.; Pathak, P.; Wu, H.: ¬The effects of fitness functions an genetic programming-based ranking discovery for Web search (2004)
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- Date
- 31. 5.2004 19:22:06
- Source
- Journal of the American Society for Information Science and technology. 55(2004) no.7, S.628-636
-
Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004)
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- Date
- 16.11.2008 16:22:48
- Series
- Lecture notes in computer science; vol.3232
-
Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.: Implementing relevance feedback in the Bayesian network retrieval model (2003)
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- Date
- 22. 3.2003 19:30:19
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.302-313
-
Dominich, S.: Mathematical foundations of information retrieval (2001)
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- Date
- 22. 3.2008 12:26:32
- LCSH
- Computer science / Mathematics
- Subject
- Computer science / Mathematics
-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
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Dannenberg, R.B.; Birmingham, W.P.; Pardo, B.; Hu, N.; Meek, C.; Tzanetakis, G.: ¬A comparative evaluation of search techniques for query-by-humming using the MUSART testbed (2007)
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Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008)
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Costa Carvalho, A. da; Rossi, C.; Moura, E.S. de; Silva, A.S. da; Fernandes, D.: LePrEF: Learn to precompute evidence fusion for efficient query evaluation (2012)
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Silva, R.M.; Gonçalves, M.A.; Veloso, A.: ¬A Two-stage active learning method for learning to rank (2014)
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Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018)
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- Date
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- Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1109-1121
