-
Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968)
0.02
0.016086869 = product of:
0.048260607 = sum of:
0.048260607 = product of:
0.09652121 = sum of:
0.09652121 = weight(_text_:indexing in 77) [ClassicSimilarity], result of:
0.09652121 = score(doc=77,freq=2.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.5075084 = fieldWeight in 77, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.09375 = fieldNorm(doc=77)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
-
Kluck, M.: ¬Eine deutschsprachige Testdatenbank für moderne Erschließungs- und Retrievalsysteme : German Indexing and Retrieval Testdatabase - GIRT (1996)
0.02
0.016086869 = product of:
0.048260607 = sum of:
0.048260607 = product of:
0.09652121 = sum of:
0.09652121 = weight(_text_:indexing in 5269) [ClassicSimilarity], result of:
0.09652121 = score(doc=5269,freq=2.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.5075084 = fieldWeight in 5269, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.09375 = fieldNorm(doc=5269)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
-
Burnett, M.; Fisher, C.; Jones, R.: InTEXT precision indexing in TREC4 (1996)
0.02
0.016086869 = product of:
0.048260607 = sum of:
0.048260607 = product of:
0.09652121 = sum of:
0.09652121 = weight(_text_:indexing in 7529) [ClassicSimilarity], result of:
0.09652121 = score(doc=7529,freq=2.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.5075084 = fieldWeight in 7529, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.09375 = fieldNorm(doc=7529)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
-
Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998)
0.02
0.016086869 = product of:
0.048260607 = sum of:
0.048260607 = product of:
0.09652121 = sum of:
0.09652121 = weight(_text_:indexing in 5202) [ClassicSimilarity], result of:
0.09652121 = score(doc=5202,freq=8.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.5075084 = fieldWeight in 5202, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.046875 = fieldNorm(doc=5202)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- In this article, we report research on an algorithmic approach to alleviating search uncertainty in a large information space. Grounded on object filtering, automatic indexing, and co-occurence analysis, we performed a large-scale experiment using a parallel supercomputer (SGI Power Challenge) to analyze 400.000+ abstracts in an INSPEC computer engineering collection. Two system-generated thesauri, one based on a combined object filtering and automatic indexing method, and the other based on automatic indexing only, were compaed with the human-generated INSPEC subject thesaurus. Our user evaluation revealed that the system-generated thesauri were better than the INSPEC thesaurus in 'concept recall', but in 'concept precision' the 3 thesauri were comparable. Our analysis also revealed that the terms suggested by the 3 thesauri were complementary and could be used to significantly increase 'variety' in search terms the thereby reduce search uncertainty
-
Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984)
0.02
0.015707046 = product of:
0.047121134 = sum of:
0.047121134 = product of:
0.09424227 = sum of:
0.09424227 = weight(_text_:22 in 262) [ClassicSimilarity], result of:
0.09424227 = score(doc=262,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.5416616 = fieldWeight in 262, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=262)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 20.10.2000 12:22:23
-
Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998)
0.02
0.015707046 = product of:
0.047121134 = sum of:
0.047121134 = product of:
0.09424227 = sum of:
0.09424227 = weight(_text_:22 in 6418) [ClassicSimilarity], result of:
0.09424227 = score(doc=6418,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.5416616 = fieldWeight in 6418, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=6418)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Source
- Online. 22(1998) no.6, S.57-58
-
Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000)
0.02
0.015707046 = product of:
0.047121134 = sum of:
0.047121134 = product of:
0.09424227 = sum of:
0.09424227 = weight(_text_:22 in 6438) [ClassicSimilarity], result of:
0.09424227 = score(doc=6438,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.5416616 = fieldWeight in 6438, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=6438)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- 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
0.015707046 = product of:
0.047121134 = sum of:
0.047121134 = product of:
0.09424227 = sum of:
0.09424227 = weight(_text_:22 in 5089) [ClassicSimilarity], result of:
0.09424227 = score(doc=5089,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.5416616 = fieldWeight in 5089, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=5089)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22. 7.2006 18:43:54
-
Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2018)
0.01
0.014988055 = product of:
0.044964164 = sum of:
0.044964164 = product of:
0.08992833 = sum of:
0.08992833 = weight(_text_:indexing in 4300) [ClassicSimilarity], result of:
0.08992833 = score(doc=4300,freq=10.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.47284302 = fieldWeight in 4300, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.0390625 = fieldNorm(doc=4300)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This article reports on an investigation of the search value that subject descriptors and identifiers assigned by professional indexers add to a bibliographic database, namely the Australian Education Index (AEI). First, a similar methodology to that developed by Gross et al. (2015) was applied, with keyword searches representing a range of educational topics run on the AEI database with and without its subject indexing. The results indicated that AEI users would also lose, on average, about a quarter of hits per query. Second, an alternative research design was applied in which an experienced literature searcher was asked to find resources on a set of educational topics on an AEI database stripped of its subject indexing and then asked to search for additional resources on the same topics after the subject indexing had been reinserted. In this study, the proportion of additional resources that would have been lost had it not been for the subject indexing was again found to be about a quarter of the total resources found for each topic, on average.
-
Cleverdon, C.W.; Mills, J.: ¬The testing of index language devices (1985)
0.01
0.014187284 = product of:
0.04256185 = sum of:
0.04256185 = product of:
0.0851237 = sum of:
0.0851237 = weight(_text_:indexing in 3643) [ClassicSimilarity], result of:
0.0851237 = score(doc=3643,freq=14.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.4475803 = fieldWeight in 3643, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.03125 = fieldNorm(doc=3643)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- A landmark event in the twentieth-century development of subject analysis theory was a retrieval experiment, begun in 1957, by Cyril Cleverdon, Librarian of the Cranfield Institute of Technology. For this work he received the Professional Award of the Special Libraries Association in 1962 and the Award of Merit of the American Society for Information Science in 1970. The objective of the experiment, called Cranfield I, was to test the ability of four indexing systems-UDC, Facet, Uniterm, and Alphabetic-Subject Headings-to retrieve material responsive to questions addressed to a collection of documents. The experiment was ambitious in scale, consisting of eighteen thousand documents and twelve hundred questions. Prior to Cranfield I, the question of what constitutes good indexing was approached subjectively and reference was made to assumptions in the form of principles that should be observed or user needs that should be met. Cranfield I was the first large-scale effort to use objective criteria for determining the parameters of good indexing. Its creative impetus was the definition of user satisfaction in terms of precision and recall. Out of the experiment emerged the definition of recall as the percentage of relevant documents retrieved and precision as the percentage of retrieved documents that were relevant. Operationalizing the concept of user satisfaction, that is, making it measurable, meant that it could be studied empirically and manipulated as a variable in mathematical equations. Much has been made of the fact that the experimental methodology of Cranfield I was seriously flawed. This is unfortunate as it tends to diminish Cleverdon's contribu tion, which was not methodological-such contributions can be left to benchmark researchers-but rather creative: the introduction of a new paradigm, one that proved to be eminently productive. The criticism leveled at the methodological shortcomings of Cranfield I underscored the need for more precise definitions of the variables involved in information retrieval. Particularly important was the need for a definition of the dependent variable index language. Like the definitions of precision and recall, that of index language provided a new way of looking at the indexing process. It was a re-visioning that stimulated research activity and led not only to a better understanding of indexing but also the design of better retrieval systems." Cranfield I was followed by Cranfield II. While Cranfield I was a wholesale comparison of four indexing "systems," Cranfield II aimed to single out various individual factors in index languages, called "indexing devices," and to measure how variations in these affected retrieval performance. The following selection represents the thinking at Cranfield midway between these two notable retrieval experiments.
-
Lochbaum, K.E.; Streeter, A.R.: Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval (1989)
0.01
0.013931636 = product of:
0.041794907 = sum of:
0.041794907 = product of:
0.083589815 = sum of:
0.083589815 = weight(_text_:indexing in 3458) [ClassicSimilarity], result of:
0.083589815 = score(doc=3458,freq=6.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.4395151 = fieldWeight in 3458, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.046875 = fieldNorm(doc=3458)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- A retrievalsystem was built to find individuals with appropriate expertise within a large research establishment on the basis of their authored documents. The expert-locating system uses a new method for automatic indexing and retrieval based on singular value decomposition, a matrix decomposition technique related to the factor analysis. Organizational groups, represented by the documents they write, and the terms contained in these documents, are fit simultaneously into a 100-dimensional "semantic" space. User queries are positioned in the semantic space, and the most similar groups are returned to the user. Here we compared the standard vector-space model with this new technique and found that combining the two methods improved performance over either alone. We also examined the effects of various experimental variables on the system`s retrieval accuracy. In particular, the effects of: term weighting functions in the semantic space construction and in query construction, suffix stripping, and using lexical units larger than a a single word were studied.
- Object
- Latent Semantic Indexing
-
Ding, C.H.Q.: ¬A probabilistic model for Latent Semantic Indexing (2005)
0.01
0.013931636 = product of:
0.041794907 = sum of:
0.041794907 = product of:
0.083589815 = sum of:
0.083589815 = weight(_text_:indexing in 3459) [ClassicSimilarity], result of:
0.083589815 = score(doc=3459,freq=6.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.4395151 = fieldWeight in 3459, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.046875 = fieldNorm(doc=3459)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Latent Semantic Indexing (LSI), when applied to semantic space built an text collections, improves information retrieval, information filtering, and word sense disambiguation. A new dual probability model based an the similarity concepts is introduced to provide deeper understanding of LSI. Semantic associations can be quantitatively characterized by their statistical significance, the likelihood. Semantic dimensions containing redundant and noisy information can be separated out and should be ignored because their negative contribution to the overall statistical significance. LSI is the optimal solution of the model. The peak in the likelihood curve indicates the existence of an intrinsic semantic dimension. The importance of LSI dimensions follows the Zipf-distribution, indicating that LSI dimensions represent latent concepts. Document frequency of words follows the Zipf distribution, and the number of distinct words follows log-normal distribution. Experiments an five standard document collections confirm and illustrate the analysis.
- Object
- Latent Semantic Indexing
-
Evans, D.A.; Lefferts, R.G.: CLARIT-TREC experiments (1995)
0.01
0.0134057235 = product of:
0.04021717 = sum of:
0.04021717 = product of:
0.08043434 = sum of:
0.08043434 = weight(_text_:indexing in 1912) [ClassicSimilarity], result of:
0.08043434 = score(doc=1912,freq=2.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.42292362 = fieldWeight in 1912, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.078125 = fieldNorm(doc=1912)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Describes the following elements of the CLARIT system information management system: natural language processing, document indexing, vector space querying and query augmentation. Reports on the processing results carried out as part of the TREC-2 and into system parameterization. Results demonstrate high prescision and excellent recall, but the system is not yet optimized
-
King, D.W.; Bryant, E.C.: ¬The evaluation of information services and products (1971)
0.01
0.0134057235 = product of:
0.04021717 = sum of:
0.04021717 = product of:
0.08043434 = sum of:
0.08043434 = weight(_text_:indexing in 4157) [ClassicSimilarity], result of:
0.08043434 = score(doc=4157,freq=2.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.42292362 = fieldWeight in 4157, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.078125 = fieldNorm(doc=4157)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Content
- Covers the evaluative and control aspects of: dclassification and indexing processes and languages; document screening processes; composition, reproduction, acquisition, storage, and presentation; usersystem interfaces. Also contains brief and lucid primers on user surveys, statistics, sampling methods, and experimental design.
-
MacCain, K.W.; White, H.D.; Griffith, B.C.: Comparing retrieval performance in online data bases (1987)
0.01
0.011609698 = product of:
0.03482909 = sum of:
0.03482909 = product of:
0.06965818 = sum of:
0.06965818 = weight(_text_:indexing in 1167) [ClassicSimilarity], result of:
0.06965818 = score(doc=1167,freq=6.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.3662626 = fieldWeight in 1167, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.0390625 = fieldNorm(doc=1167)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- 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
-
Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2017)
0.01
0.011609698 = product of:
0.03482909 = sum of:
0.03482909 = product of:
0.06965818 = sum of:
0.06965818 = weight(_text_:indexing in 3868) [ClassicSimilarity], result of:
0.06965818 = score(doc=3868,freq=6.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.3662626 = fieldWeight in 3868, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.0390625 = fieldNorm(doc=3868)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This paper reports on an analysis of the loss levels that would result if a bibliographic database, namely the Australian Education Index (AEI), were missing the subject descriptors and identifiers assigned by its professional indexers, employing the methodology developed by Gross and Taylor (2005), and later by Gross et al. (2015). The results indicate that AEI users would lose a similar proportion of hits per query to that experienced by library catalog users: on average, 27% of the resources found by a sample of keyword queries on the AEI database would not have been found without the subject indexing, based on the Australian Thesaurus of Education Descriptors (ATED). The paper also discusses the methodological limitations of these studies, pointing out that real-life users might still find some of the resources missed by a particular query through follow-up searches, while additional resources might also be found through iterative searching on the subject vocabulary. The paper goes on to describe a new research design, based on a before - and - after experiment, which addresses some of these limitations. It is argued that this alternative design will provide a more realistic picture of the value that professionally assigned subject indexing and controlled subject vocabularies can add to literature searching of a more scholarly and thorough kind.
-
Schabas, A.H.: Postcoordinate retrieval : a comparison of two retrieval languages (1982)
0.01
0.011375135 = product of:
0.034125403 = sum of:
0.034125403 = product of:
0.068250805 = sum of:
0.068250805 = weight(_text_:indexing in 1202) [ClassicSimilarity], result of:
0.068250805 = score(doc=1202,freq=4.0), product of:
0.19018644 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.049684696 = queryNorm
0.3588626 = fieldWeight in 1202, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.046875 = fieldNorm(doc=1202)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- This article reports on a comparison of the postcoordinate retrieval effectiveness of two indexing languages: LCSH and PRECIS. The effect of augmenting each with title words was also studies. The database for the study was over 15.000 UK MARC records. Users returned 5.326 relevant judgements for citations retrieved for 61 SDI profiles, representing a wide variety of subjects. Results are reported in terms of precision and relative recall. Pure/applied sciences data and social science data were analyzed separately. Cochran's significance tests for ratios were used to interpret the findings. Recall emerged as the more important measure discriminating the behavior of the two languages. Addition of title words was found to improve recall of both indexing languages significantly. A direct relationship was observed between recall and exhaustivity. For the social sciences searches, recalls from PRECIS alone and from PRECIS with title words were significantly higher than those from LCSH alone and from LCSH with title words, respectively. Corresponding comparisons for the pure/applied sciences searches revealed no significant differences
-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
0.01
0.011219318 = product of:
0.033657953 = sum of:
0.033657953 = product of:
0.06731591 = sum of:
0.06731591 = weight(_text_:22 in 3103) [ClassicSimilarity], result of:
0.06731591 = score(doc=3103,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.38690117 = fieldWeight in 3103, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.078125 = fieldNorm(doc=3103)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- 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)
0.01
0.011219318 = product of:
0.033657953 = sum of:
0.033657953 = product of:
0.06731591 = sum of:
0.06731591 = weight(_text_:22 in 3107) [ClassicSimilarity], result of:
0.06731591 = score(doc=3107,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.38690117 = fieldWeight in 3107, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.078125 = fieldNorm(doc=3107)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 27. 2.1999 20:59:22
-
Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983)
0.01
0.011219318 = product of:
0.033657953 = sum of:
0.033657953 = product of:
0.06731591 = sum of:
0.06731591 = weight(_text_:22 in 2417) [ClassicSimilarity], result of:
0.06731591 = score(doc=2417,freq=2.0), product of:
0.17398734 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.049684696 = queryNorm
0.38690117 = fieldWeight in 2417, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.078125 = fieldNorm(doc=2417)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Pages
- S.22-25
