-
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
-
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
-
Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009)
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- Abstract
- We report data fusion experiments carried out on the four best-performing retrieval models from TREC 5. Three were conceptually/algorithmically very different from one another; one was algorithmically similar to one of the former. The objective of the test was to observe the performance of the 11 logical data fusion combinations compared to the performance of the four individual models and their intermediate fusions when following the principle of polyrepresentation. This principle is based on cognitive IR perspective (Ingwersen & Järvelin, 2005) and implies that each retrieval model is regarded as a representation of a unique interpretation of information retrieval (IR). It predicts that only fusions of very different, but equally good, IR models may outperform each constituent as well as their intermediate fusions. Two kinds of experiments were carried out. One tested restricted fusions, which entails that only the inner disjoint overlap documents between fused models are ranked. The second set of experiments was based on traditional data fusion methods. The experiments involved the 30 TREC 5 topics that contain more than 44 relevant documents. In all tests, the Borda and CombSUM scoring methods were used. Performance was measured by precision and recall, with document cutoff values (DCVs) at 100 and 15 documents, respectively. Results show that restricted fusions made of two, three, or four cognitively/algorithmically very different retrieval models perform significantly better than do the individual models at DCV100. At DCV15, however, the results of polyrepresentative fusion were less predictable. The traditional fusion method based on polyrepresentation principles demonstrates a clear picture of performance at both DCV levels and verifies the polyrepresentation predictions for data fusion in IR. Data fusion improves retrieval performance over their constituent IR models only if the models all are quite conceptually/algorithmically dissimilar and equally and well performing, in that order of importance.
- Date
- 22. 3.2009 18:48:28
-
Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998)
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- Date
- 22. 9.1997 19:16:05
- Source
- Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
-
Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011)
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- Abstract
- Purpose - This study intends to identify factors that affect relevance judgment of retrieved information as part of the 2007 TREC Legal track interactive task. Design/methodology/approach - Data were gathered and analyzed from the participants of the 2007 TREC Legal track interactive task using a questionnaire which includes not only a list of 80 relevance factors identified in prior research, but also a space for expressing their thoughts on relevance judgment in the process. Findings - This study finds that topicality remains a primary criterion, out of various options, for determining relevance, while specificity of the search request, task, or retrieved results also helps greatly in relevance judgment. Research limitations/implications - Relevance research should focus on the topicality and specificity of what is being evaluated as well as conducted in real environments. Practical implications - If multiple relevance factors are presented to assessors, the total number in a list should be below ten to take account of the limited processing capacity of human beings' short-term memory. Otherwise, the assessors might either completely ignore or inadequately consider some of the relevance factors when making judgment decisions. Originality/value - This study presents a method for reducing the artificiality of relevance research design, an apparent limitation in many related studies. Specifically, relevance judgment was made in this research as part of the 2007 TREC Legal track interactive task rather than a study devised for the sake of it. The assessors also served as searchers so that their searching experience would facilitate their subsequent relevance judgments.
- Date
- 12. 7.2011 18:29:22
-
Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984)
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- Date
- 20.10.2000 12:22:23
-
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
-
Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000)
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- Date
- 11. 8.2001 16:22:19
-
Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990)
0.02
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- Date
- 22. 7.2006 18:43:54
-
Van der Walt, H.E.A.; Brakel, P.A. van: Method for the evaluation of the retrieval effectiveness of a CD-ROM bibliographic database (1991)
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- Abstract
- Addresses the problem of how potential users of CD-ROM data bases can objectively establish which version of the same data base is best suited for a specific situation. The problem was solved by applying the retrieval effectiveness of current on-line data base search systems as a standard measurement. 5 search queries from the medical sciences were presented by experienced users of MEDLINE. Search strategies were written for both DIALOG and DATA-STAR. Search results were compared to create a recall base from documents present in both on-line searches. This recall base was then used to establish the retrieval and precision of 4 CD-ROM data bases: MEDLINE, Compact Cambrdge MEDLINE, DIALOG OnDisc, Comprehensive MEDLINE/EBSCO
-
Wilbur, W.J.: Global term weights for document retrieval learned from TREC data (2001)
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-
Feng, S.: ¬A comparative study of indexing languages in single and multidatabase searching (1989)
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- Abstract
- An experiment was conducted using 3 data bases in library and information science - Library and Information Science Abstracts (LISA), Information Science Abstracts and ERIC - to investigate some of the main factors affecting on-line searching: effectiveness of search vocabularies, combinations of fields searched, and overlaps among databases. Natural language, controlled vocabulary and a mixture of natural language and controlled terms were tested using different fields of bibliographic records. Also discusses a comparative evaluation of single and multi-data base searching, measuring the overlap among data bases and their influence upon on-line searching.
-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
0.02
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- Date
- 27. 2.1999 20:55:22
-
Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983)
0.02
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- Pages
- S.22-25
-
MacCain, K.W.; White, H.D.; Griffith, B.C.: Comparing retrieval performance in online data bases (1987)
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- Abstract
- This study systematically compares retrievals on 11 topics across five well-known data bases, with MEDLINE's subject indexing as a focus. Each topic was posed by a researcher in the medical behavioral sciences. Each was searches in MEDLINE, EXCERPTA MEDICA, and PSYCHINFO, which permit descriptor searches, and in SCISEARCH and SOCIAL SCISEARCH, which express topics through cited references. Searches on each topic were made with (1) descriptors, (2) cited references, and (3) natural language (a capabiblity common to all five data bases). The researchers who posed the topics judged the results. In every case, the set of records judged relevant was used to to calculate recall, precision, and novelty ratios. Overall, MEDLINE had the highest recall percentage (37%), followed by SSCI (31%). All searches resulted in high precision ratios; novelty ratios of data bases and searches varied widely. Differences in record format among data bases affected the success of the natural language retrievals. Some 445 documents judged relevant were not retrieved from MEDLINE using its descriptors; they were found in MEDLINE through natural language or in an alternative data base. An analysis was performed to examine possible faults in MEDLINE subject indexing as the reason for their nonretrieval. However, no patterns of indexing failure could be seen in those documents subsequently found in MEDLINE through known-item searches. Documents not found in MEDLINE primarily represent failures of coverage - articles were from nonindexed or selectively indexed journals
-
Wildemuth, B.M.: Measures of success in searching a full-text fact base (1990)
0.02
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- Abstract
- The traditional measures of online searching proficiency (recall and precision) are less appropriate when applied to the searching of full text databases. The pilot study investigated and evaluated 5 measures of overall success in searching a full text data bank. Data was drawn from INQUIRER searches conducted by medical students at North Carolina Univ. at Chapel Hill. INQUIRER ia an online database of facts and concepts in microbiology. The 5 measures were: success/failure; precision; search term overlap; number of search cycles; and time per search. Concludes that the last 4 measures look promising for the evaluation of fact data bases such as ENQUIRER
-
Kelledy, F.; Smeaton, A.F.: Thresholding the postings lists in information retrieval : experiments on TREC data (1995)
0.02
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- Abstract
- A variety of methods for speeding up the response time of information retrieval processes have been put forward, one of which is the idea of thresholding. Thresholding relies on the data in information retrieval storage structures being organised to allow cut-off points to be used during processing. These cut-off points or thresholds are designed and ised to reduce the amount of information processed and to maintain the quality or minimise the degradation of response to a user's query. TREC is an annual series of benchmarking exercises to compare indexing and retrieval techniques. Reports experiments with a portion of the TREC data where features are introduced into the retrieval process to improve response time. These features improve response time while maintaining the same level of retrieval effectiveness
-
Ahlgren, P.; Grönqvist, L.: Evaluation of retrieval effectiveness with incomplete relevance data : theoretical and experimental comparison of three measures (2008)
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- Abstract
- This paper investigates two relatively new measures of retrieval effectiveness in relation to the problem of incomplete relevance data. The measures, Bpref and RankEff, which do not take into account documents that have not been relevance judged, are compared theoretically and experimentally. The experimental comparisons involve a third measure, the well-known mean uninterpolated average precision. The results indicate that RankEff is the most stable of the three measures when the amount of relevance data is reduced, with respect to system ranking and absolute values. In addition, RankEff has the lowest error-rate.
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Savoy, J.; Calvé, A. le; Vrajitoru, D.: Report on the TREC5 experiment : data fusion and collection fusion (1997)
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Taghva, K.: ¬The effects of noisy data on text retrieval (1994)
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- Abstract
- Reports of the results of experiments on query evaluation on the presence of noisy data, in particular, an OCR-generated database and its corresponding 99.8 % correct version are used to process a set of queries to determine the effect the degraded version will have on retrieval. With the set of scientific documents used in the testing, the effect is insignificant. Improves the result by applying an automatic postprocessing system designed to correct the kinds of errors generated by recognition devices
