-
Agata, T.: ¬A measure for evaluating search engines on the World Wide Web : retrieval test with ESL (Expected Search Length) (1997)
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- Source
- Library and information science. 1997, no.37, S.1-11
-
Wu, C.-J.: Experiments on using the Dublin Core to reduce the retrieval error ratio (1998)
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- Abstract
- In order to test the power of metadata on information retrieval, an experiment was designed and conducted on a group of 7 graduate students using the Dublin Core as the cataloguing metadata. Results show that, on average, the retrieval error rate is only 2.9 per cent for the MES system (http://140.136.85.194), which utilizes the Dublin Core to describe the documents on the World Wide Web, in contrast to 20.7 per cent for the 7 famous search engines including HOTBOT, GAIS, LYCOS, EXCITE, INFOSEEK, YAHOO, and OCTOPUS. The very low error rate indicates that the users can use the information of the Dublin Core to decide whether to retrieve the documents or not
- Source
- Journal of library and information science. 24(1998) no.1, S.50-64
-
Khan, K.; Locatis, C.: Searching through cyberspace : the effects of link display and link density on information retrieval from hypertext on the World Wide Web (1998)
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- Abstract
- This study investigated information retrieval from hypertext on the WWW. Significant main and interaction effects were found for both link density (number of links per display) and display format (in paragraphs or lists) on search performance. Low link densities displayed in list format produced the best overall results, in terms of search accuracy, search time, number of links explored, and search task prioritization. Lower densities affected user ability to prioritize search tasks and produced more accurate searches, while list displays positively affected all aspects of searching except task prioritization. The performance of novices and experts, in terms of their previous experience browsing hypertext on the WWW, was compared. Experts performed better, mostly because of their superior task prioritization
- Source
- Journal of the American Society for Information Science. 49(1998) no.2, S.176-182
-
Kantor, P.; Kim, M.H.; Ibraev, U.; Atasoy, K.: Estimating the number of relevant documents in enormous collections (1999)
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- Abstract
- In assessing information retrieval systems, it is important to know not only the precision of the retrieved set, but also to compare the number of retrieved relevant items to the total number of relevant items. For large collections, such as the TREC test collections, or the World Wide Web, it is not possible to enumerate the entire set of relevant documents. If the retrieved documents are evaluated, a variant of the statistical "capture-recapture" method can be used to estimate the total number of relevant documents, providing the several retrieval systems used are sufficiently independent. We show that the underlying signal detection model supporting such an analysis can be extended in two ways. First, assuming that there are two distinct performance characteristics (corresponding to the chance of retrieving a relevant, and retrieving a given non-relevant document), we show that if there are three or more independent systems available it is possible to estimate the number of relevant documents without actually having to decide whether each individual document is relevant. We report applications of this 3-system method to the TREC data, leading to the conclusion that the independence assumptions are not satisfied. We then extend the model to a multi-system, multi-problem model, and show that it is possible to include statistical dependencies of all orders in the model, and determine the number of relevant documents for each of the problems in the set. Application to the TREC setting will be presented
- Imprint
- Medford, NJ : Information Today
- Series
- Proceedings of the American Society for Information Science; vol.36
- Source
- Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
-
Harman, D.: ¬The Text REtrieval Conferences (TRECs) : providing a test-bed for information retrieval systems (1998)
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- Abstract
- The Text REtrieval Conference (TREC) workshop series encourages research in information retrieval from large text applications by providing a large test collection, uniform scoring procedures and a forum for organizations interested in comparing their results. Now in its seventh year, the conference has become the major experimental effort in the field. Participants in the TREC conferences have examined a wide variety of retrieval techniques, including methods using automatic thesauri, sophisticated term weighting, natural language techniques, relevance feedback and advanced pattern matching. The TREC conference series is co-sponsored by the National Institute of Standards and Technology (NIST) and the Information Technology Office of the Defense Advanced Research Projects Agency (DARPA)
- Source
- Bulletin of the American Society for Information Science. 24(1998), April/May, S.11-13
-
Ellis, D.: Progress and problems in information retrieval (1996)
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- Abstract
- An introduction to the principal generic approaches to information retrieval research with their associated concepts, models and systems, this text is designed to keep the information professional up to date with the major themes and developments that have preoccupied researchers in recent month in relation to textual and documentary retrieval systems.
- COMPASS
- Information retrieval
- Content
- First published 1991 as New horizons in information retrieval
- Date
- 26. 7.2002 20:22:46
- Footnote
- Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
- LCSH
- Information retrieval
- Subject
- Information retrieval
Information retrieval
-
Frei, H.P.; Meienberg, S.; Schäuble, P.: ¬The perils of interpreting recall and precision values (1991)
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- Abstract
- The traditional recall and precision measure is inappropriate when retrieval algorithms that retrieve information from Wide Area Networks are evaluated. The principle reason is that information available in WANs is dynamic and its size os orders of magnitude greater than the size of the usual test collections. To overcome these problems, a new efffectiveness measure has been developed, which we call the 'usefulness measure'
- Source
- Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
-
MacCall, S.L.; Cleveland, A.D.: ¬A relevance-based quantitative measure for Internet information retrieval evaluation (1999)
0.02
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- Abstract
- An important indicator of a maturating Internet is the development of metrics for its evaluation as a practical tool for enduser information retrieval. However, the Internet presents specific problems for traditional IR measures, such as the need to deal with the variety of classes of retrieval tools. This paper presents a metric for comparing the performance of common classes of Internet information retrieval tool, including human indexed catalogs of web resources and automatically indexed databases of web pages. The metric uses a relevance-based quantitative measure to compare the performance of endusers using these Internet information retrieval tools. The benefit of the proposed metric is that it is relevance-based (using enduser relevance judgments), and it facilitates the comparison of the performance of different classes of IIR tools
- Imprint
- Medford, NJ : Information Today
- Series
- Proceedings of the American Society for Information Science; vol36
- Source
- Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
-
Harter, S.P.: Variations in relevance assessments and the measurement of retrieval effectiveness (1996)
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- Abstract
- The purpose of this article is to bring attention to the problem of variations in relevance assessments and the effects that these may have on measures of retrieval effectiveness. Through an analytical review of the literature, I show that despite known wide variations in relevance assessments in experimental test collections, their effects on the measurement of retrieval performance are almost completely unstudied. I will further argue that what we know about tha many variables that have been found to affect relevance assessments under experimental conditions, as well as our new understanding of psychological, situational, user-based relevance, point to a single conclusion. We can no longer rest the evaluation of information retrieval systems on the assumption that such variations do not significantly affect the measurement of information retrieval performance. A series of thourough, rigorous, and extensive tests is needed, of precisely how, and under what conditions, variations in relevance assessments do, and do not, affect measures of retrieval performance. We need to develop approaches to evaluation that are sensitive to these variations and to human factors and individual differences more generally. Our approaches to evaluation must reflect the real world of real users
- Source
- Journal of the American Society for Information Science. 47(1996) no.1, S.37-49
-
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
- Source
- Journal of the American Society for Information Science. 41(1990) no.4, S.272-281
-
MacCall, S.L.; Cleveland, A.D.; Gibson, I.E.: Outline and preliminary evaluation of the classical digital library model (1999)
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- Abstract
- The growing number of networked information resources and services offers unprecedented opportunities for delivering high quality information to the computer desktop of a wide range of individuals. However, currently there is a reliance on a database retrieval model, in which endusers use keywords to search large collections of automatically indexed resources in order to find needed information. As an alternative to the database retrieval model, this paper outlines the classical digital library model, which is derived from traditional practices of library and information science professionals. These practices include the selection and organization of information resources for local populations of users and the integration of advanced information retrieval tools, such as databases and the Internet into these collections. To evaluate this model, library and information professionals and endusers involved with primary care medicine were asked to respond to a series of questions comparing their experiences with a digital library developed for the primary care population to their experiences with general Internet use. Preliminary results are reported
- Imprint
- Medford, NJ : Information Today
- Series
- Proceedings of the American Society for Information Science; vol.36
- Source
- Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
-
Davis, C.H.: From document retrieval to Web browsing : some universal concerns (1997)
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- Abstract
- Computer based systems can produce enourmous retrieval sets even when good search logic is used. Sometimes this is desirable, more often it is not. Appropriate filters can limit search results, but they represent only a partial solution. Simple ranking techniques are needed that are both effective and easily understood by the humans doing the searching. Optimal search output, whether from a traditional database or the Internet, will result when intuitive interfaces are designed that inspire confidence while making the necessary mathematics transparent. Weighted term searching using powers of 2, a technique proposed early in the history of information retrieval, can be simplifies and used in combination with modern graphics and textual input to achieve these results
- Source
- Journal of information; communication; and library science. 3(1997) no.3, S.3-10
-
Sanderson, M.: ¬The Reuters test collection (1996)
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- Abstract
- Describes the Reuters test collection, which at 22.173 references is significantly larger than most traditional test collections. In addition, Reuters has none of the recall calculation problems normally associated with some of the larger test collections available. Explains the method derived by D.D. Lewis to perform retrieval experiments on the Reuters collection and illustrates the use of the Reuters collection using some simple retrieval experiments that compare the performance of stemming algorithms
- 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
-
Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996)
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- Abstract
- Explains briefly what constitutes the imaging process and explains how imaging can be used in information retrieval. Proposes an approach based on the concept of: 'a term is a possible world'; which enables the exploitation of term to term relationships which are estimated using an information theoretic measure. Reports results of an evaluation exercise to compare the performance of imaging retrieval, using possible world semantics, with a benchmark and using the Cranfield 2 document collection to measure precision and recall. Initially, the performance imaging retrieval was seen to be better but statistical analysis proved that the difference was not significant. The problem with imaging retrieval lies in the amount of computations needed to be performed at run time and a later experiement investigated the possibility of reducing this amount. Notes lines of further investigation
- 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
-
Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995)
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- Abstract
- The performance of an information retrieval or text and media filtering system may be determined through analytic methods as well as by traditional simulation or experimental methods. These analytic methods can provide precise statements about expected performance. They can thus determine which of 2 similarly performing systems is superior. For both a single query terms and for a multiple query term retrieval model, a model for comparing the performance of different probabilistic retrieval methods is developed. This method may be used in computing the average search length for a query, given only knowledge of database parameter values. Describes predictive models for inverse document frequency, binary independence, and relevance feedback based retrieval and filtering. Simulation illustrate how the single term model performs and sample performance predictions are given for single term and multiple term problems
- Date
- 22. 2.1996 13:14:10
- Source
- Information processing and management. 31(1995) no.4, S.555-572
-
¬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
-
Clarke, S.J.; Willett, P.: Estimating the recall performance of Web search engines (1997)
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- Abstract
- Reports a comparison of the retrieval effectiveness of the AltaVista, Excite and Lycos Web search engines. Describes a method for comparing the recall of the 3 sets of searches, despite the fact that they are carried out on non identical sets of Web pages. It is thus possible, unlike previous comparative studies of Web search engines, to consider both recall and precision when evaluating the effectiveness of search engines
-
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
- Source
- Information processing and management. 30(1994) no.2, S.205-221
-
Davis, M.W.: On the effective use of large parallel corpora in cross-language text retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996)
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- Abstract
- The test of retrieval effectiveness performed on IBM's STAIRS and reported in 'Communications of the ACM' 10 years ago, continues to be cited frequently in the information retrieval literature. The reasons for the study's continuing pertinence to today's research are discussed, and the political, legal, and commercial aspects of the study are presented. In addition, the method of calculating recall that was used in the STAIRS study is discussed in some detail, especially how it reduces the 5 major types of uncertainty in recall estimations. It is also suggested that this method of recall estimation may serve as the basis for recall estimations that might be truly comparable between systems
- Source
- Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
