Search (20 results, page 1 of 1)

Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.03

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Date: 1. 8.1996 22:08:06
Footnote: Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia

Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.02

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Date: 17. 2.1997 18:25:04
22. 3.2003 19:35:46

Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.02

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Date: 17. 2.1997 18:25:04
22. 7.2006 16:32:43

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

Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01

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Date: 16.11.2008 16:22:48

Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995) 0.01

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Date: 22. 2.1996 13:14:10

Kulyukin, V.A.; Settle, A.: Ranked retrieval with semantic networks and vector spaces (2001) 0.01

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Date: 17. 2.1997 18:25:04
16.12.2001 18:16:20

Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014) 0.01

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Date: 5. 9.2014 10:18:18
15. 2.2016 18:07:42

Liu, X.; Zheng, W.; Fang, H.: ¬An exploration of ranking models and feedback method for related entity finding (2013) 0.01

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Date: 5. 9.2014 10:18:18
25. 1.2016 18:41:58

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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Abstract

An experiment was conducted to see how relevance feedback could be used to build and adjust profiles to improve the performance of filtering systems. Data was collected during the system interaction of 18 graduate students with SIFTER (Smart Information Filtering Technology for Electronic Resources), a filtering system that ranks incoming information based on users' profiles. The data set came from a collection of 6000 records concerning consumer health. In the first phase of the study, three different modes of profile acquisition were compared. The explicit mode allowed users to directly specify the profile; the implicit mode utilized relevance feedback to create and refine the profile; and the combined mode allowed users to initialize the profile and to continuously refine it using relevance feedback. Filtering performance, measured in terms of Normalized Precision, showed that the three approaches were significantly different ( [small alpha, Greek] =0.05 and p =0.012). The explicit mode of profile acquisition consistently produced superior results. Exclusive reliance on relevance feedback in the implicit mode resulted in inferior performance. The low performance obtained by the implicit acquisition mode motivated the second phase of the study, which aimed to clarify the role of context in relevance feedback judgments. An inductive content analysis of thinking aloud protocols showed dimensions that were highly situational, establishing the importance context plays in feedback relevance assessments. Results suggest the need for better representation of documents, profiles, and relevance feedback mechanisms that incorporate dimensions identified in this research.

Date

17. 2.1997 18:25:04

Beaulieu, M.; Jones, S.: Interactive searching and interface issues in the Okapi best match probabilistic retrieval system (1998) 0.00

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Date: 18. 3.1997 21:11:33

Bhogal, J.; Macfarlane, A.; Smith, P.: ¬A review of ontology based query expansion (2007) 0.00

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Date: 17. 2.1997 18:25:04

Kwok, K.L.: ¬A network approach to probabilistic information retrieval (1995) 0.00

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Date: 29. 1.1996 18:42:14

Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998) 0.00

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Source: Journal of information science. 24(1998) no.1, S.3-18

Nie, J.-Y.: Query expansion and query translation as logical inference (2003) 0.00

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Date: 17. 2.1997 18:25:04

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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Date: 17. 2.1997 18:25:04

Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008) 0.00

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Date: 17. 2.1997 18:25:04

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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Source: Research and advanced technology for digital libraries : 9th European conference, ECDL 2005, Vienna, Austria, September 18-23, 2005 ; proceedings / Andreas Rauber ... (eds.)

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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Date: 17. 2.1997 18:25:04

Efthimiadis, E.N.: Interactive query expansion : a user-based evaluation in a relevance feedback environment (2000) 0.00

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Date: 17. 2.1997 18:25:04

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