-
Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998)
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- Source
- Online. 22(1998) no.3, S.24-26,28
-
Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996)
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- Source
- Journal of information science. 22(1996) no.2, S.79-92
-
Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998)
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- Source
- Online. 22(1998) no.6, S.57-58
-
Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990)
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- Date
- 22. 7.2006 18:43:54
-
Pfeifer, U.; Poersch, T.; Fuhr, N.: Retrieval effectiveness of proper name search methods (1996)
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-
Frei, H.P.; Meienberg, S.; Schäuble, P.: ¬The perils of interpreting recall and precision values (1991)
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- Source
- Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
-
Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998)
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- Abstract
- One of the major causes of search failures in information retrieval systems is vocabulary mismatch. Presents a solution to the vocabulary problem through 2 strategies known as term suggestion (TS) and term relevance feedback (TRF). In TS, collection specific terms are extracted from the text collection. These terms and their frequencies constitute the keyword database for suggesting terms in response to users' queries. One effect of this term suggestion is that it functions as a dynamic directory if the query is a general term that contains broad meaning. In term relevance feedback, terms extracted from the top ranked documents retrieved from the previous query are shown to users for relevance feedback. In the experiment, interactive TS provides very high precision rates while achieving similar recall rates as n-gram matching. Local TRF achieves improvement in both precision and recall rate in a full text news database and degrades slightly in recall rate in bibliographic databases due to the very limited source of information for feedback. In terms of Rijsbergen's combined measure of recall and precision, both TS and TRF achieve better performance than n-gram matching, which implies that the greater improvement in precision rate compensates the slight degradation in recall rate for TS and TRF
-
Lancaster, F.W.; Connell, T.H.; Bishop, N.; McCowan, S.: Identifying barriers to effective subject access in library catalogs (1991)
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-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
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- Date
- 27. 2.1999 20:55:22
-
Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997)
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- Date
- 27. 2.1999 20:59:22
-
Wood, F.; Ford, N.; Walsh, C.: ¬The effect of postings information on search behaviour (1994)
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-
Evans, J.E.: Some external and internal factors affecting users of interactive information systems (1996)
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- Abstract
- This contribution reports the results of continuing research in human-information system interactions. Following training and experience with an electronic information retrieval system novice and experienced subject groups responded to questions ranking their value assessments of 7 attributes of information sources in relation to 15 factors describing the search process. In general, novice users were more heavily influenced by the process factors (negative influences) than by the positive attributes of information qualities. Experienced users, while still concerned with process factors, were more strongly influenced by the qualitative information attributes. The specific advantages and contributions of this research are several: higher dimensionality of measured factors and attributes (15 x 7); higher granularity of analysis using a 7 value metric in a closed-end Likert scale; development of bi-directional, firced-choice influence vectors; and a larger sample size (N=186) than previously reported in the literature
-
Sanderson, M.: ¬The Reuters test collection (1996)
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- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997)
0.01
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- Date
- 1. 8.1996 22:01:00
-
¬The Fifth Text Retrieval Conference (TREC-5) (1997)
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- Abstract
- Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
-
Ellis, D.: Progress and problems in information retrieval (1996)
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- Date
- 26. 7.2002 20:22:46
-
Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994)
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- Abstract
- The evaluation of information retrieval systems is an important yet difficult operation. This paper describes an exploratory evaluation study that takes an interpretive approach to evaluation. The longitudinal study examines evaluation through the information-seeking behaviour of 22 case studies of 'real' users. The eclectic approach to data collection produced behavioral data that is compared with relevance judgements and satisfaction ratings. The study demonstrates considerable variations among the cases, among different evaluation measures within the same case, and among the same measures at different stages within a single case. It is argued that those involved in evaluation should be aware of the difficulties, and base any evaluation on a good understanding of the cases in question
-
Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996)
0.01
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- Source
- Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
-
Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995)
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- Date
- 22. 2.1996 13:14:10
-
Brown, M.E.: By any other name : accounting for failure in the naming of subject categories (1995)
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- Date
- 2.11.1996 13:08:22
