-
Aizawa, A.: ¬An information-theoretic perspective of tf-idf measures (2003)
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- Information processing and management. 39(2003) no.1, S.45-65
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Hoenkamp, E.; Bruza, P.D.; Song, D.; Huang, Q.: ¬An effective approach to verbose queries using a limited dependencies language model (2009)
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- Source
- Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings. Ed.: L. Azzopardi
-
Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004)
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- Electronic library. 22(2004) no.2, S.112-120
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Keen, E.M.: Designing and testing an interactive ranked retrieval system for professional searchers (1994)
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- Abstract
- Reports 3 explorations of ranked system design. 2 tests used a 'cystic fibrosis' test collection with 100 queries. Experiment 1 compared a Boolean with a ranked interactive system using a subject qualified trained searcher, and reporting recall and precision results. Experiment 2 compared 15 different ranked match algorithms in a batch mode using 2 test collections, and included some new proximate pairs and term weighting approaches. Experiment 3 is a design plan for an interactive ranked prototype offering mid search algorithm choices plus other manual search devices (such as obligatory and unwanted terms), as influenced by thinking aloud comments from experiment 1. Concludes that, in Boolean versus ranked using inverse collection frequency, the searcher inspected more records on ranked than Boolean and so achieved a higher recall but lower precision; however, the presentation order of the relevant records, was, on average, very similar in both systems. Concludes also that: query reformulation was quite strongly practised in ranked searching but does not appear to have been effective; the term pairs proximate weithing methods in experiment 2 enhanced precision on both test collections when used with inverse collection frequency weighting (ICF); and the design plan for an interactive prototype adds to a selection of match algorithms other devices, such as obligatory and unwanted term marking, evidence for this being found from think aloud comments
-
Crouch, C.J.; Crouch, D.B.; Chen, Q.; Holtz, S.J.: Improving the retrieval effectiveness of very short queries (2002)
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- Information processing and management. 38(2002) no.1, S.1-36
-
Smith, M.P.; Pollitt, S.A.: ¬A comparison of ranking formulae and their ranks (1995)
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- Source
- New review of document and text management. 1995, no.1, S.85-100
-
Brenner, E.H.: Beyond Boolean : new approaches in information retrieval; the quest for intuitive online search systems past, present & future (1995)
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- Content
- (1) The Boolean world; (2) The Non-Boolean picture; (3) The commercial search engines: Personal Librarian, CLARIT, ConQuest, DR-LINK, InQuizit, InTEXT, TOPIC, WIN, TARGET, FREESTYLE, InfoSeek; (4) Wiedergabe von 8 Aufsätzen aus 'Monitor'
-
Wollf, J.G.: ¬A scalable technique for best-match retrieval of sequential information using metrics-guided search (1994)
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- Source
- Journal of information science. 20(1994) no.1, S.16-28
-
Losee, R.M.; Church Jr., L.: Are two document clusters better than one? : the cluster performance question for information retrieval (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.106-108
-
Vechtomova, O.; Karamuftuoglu, M.: Elicitation and use of relevance feedback information (2006)
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- Source
- Information processing and management. 42(2006) no.1, S.191-206
-
Sánchez-de-Madariaga, R.; Fernández-del-Castillo, J.R.: ¬The bootstrapping of the Yarowsky algorithm in real corpora (2009)
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- Source
- Information processing and management. 45(2009) no.1, S.55-69
-
Gauch, S.; Smith, J.B.: ¬An expert system for automatic query reformation (1993)
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- Abstract
- Unfamiliarity with search tactics creates difficulties for many users of online retrieval systems. User observations indicate that even experienced searchers use vocabulary incorrectly and rarely reformulate their queries. To address these problems, an expert system for online search assistance was developed. This prototype automatically reformulates queries to improve the search results, and ranks the retrieved passages to speed the identification of relevant information. User's search performance using the expert system was compared with their search performance using an online thesaurus. The following conclusions were reached: (1) the expert system significantly reduced the number of queries necessary to find relevant passages compared with the user searching alone or with the thesaurus. (2) The expert system produced marginally significant improvements in precision compared with the user searching on their own. There was no significant difference in the recall achieved by the three system configurations. (3) Overall, the expert system ranked relevant passages above irrelevant passages
-
Baeza-Yates, R.; Navarro, G.: Block addressing indices for approximate text retrieval (2000)
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- Source
- Journal of the American Society for Information Science. 51(2000) no.1, S.69-82
-
Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998)
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- Source
- Journal of information science. 24(1998) no.1, S.3-18
-
Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004)
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- Source
- Aslib proceedings. 56(2004) no.1, S.24-33
-
White, R.W.; Jose, J.M.; Ruthven, I.: ¬An implicit feedback approach for interactive information retrieval (2006)
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- Source
- Information processing and management. 42(2006) no.1, S.166-190
-
Xu, Y.; Wang, D.: Order effect in relevance judgment : mediation and causality (2008)
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- Date
- 1. 6.2008 12:48:04
-
Efron, M.: Query expansion and dimensionality reduction : Notions of optimality in Rocchio relevance feedback and latent semantic indexing (2008)
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- Information processing and management. 44(2008) no.1, S.163-180
-
Zhao, L.; Wu, L.; Huang, X.: Using query expansion in graph-based approach for query-focused multi-document summarization (2009)
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- Information processing and management. 45(2009) no.1, S.35-41
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Fu, X.: Towards a model of implicit feedback for Web search (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.30-49
