-
Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983)
0.05
0.053421248 = product of:
0.08903541 = sum of:
0.008936145 = weight(_text_:a in 2134) [ClassicSimilarity], result of:
0.008936145 = score(doc=2134,freq=4.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.25222903 = fieldWeight in 2134, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.109375 = fieldNorm(doc=2134)
0.050958477 = weight(_text_:u in 2134) [ClassicSimilarity], result of:
0.050958477 = score(doc=2134,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.50648975 = fieldWeight in 2134, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.109375 = fieldNorm(doc=2134)
0.029140783 = product of:
0.058281567 = sum of:
0.058281567 = weight(_text_:22 in 2134) [ClassicSimilarity], result of:
0.058281567 = score(doc=2134,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.5416616 = fieldWeight in 2134, 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=2134)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Date
- 30. 3.2001 13:32:22
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
0.05
0.050067145 = product of:
0.083445236 = sum of:
0.0063188085 = weight(_text_:a in 3445) [ClassicSimilarity], result of:
0.0063188085 = score(doc=3445,freq=2.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.17835285 = fieldWeight in 3445, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.109375 = fieldNorm(doc=3445)
0.047985647 = weight(_text_:j in 3445) [ClassicSimilarity], result of:
0.047985647 = score(doc=3445,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.4914939 = fieldWeight in 3445, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.109375 = fieldNorm(doc=3445)
0.029140783 = product of:
0.058281567 = sum of:
0.058281567 = weight(_text_:22 in 3445) [ClassicSimilarity], result of:
0.058281567 = score(doc=3445,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.5416616 = fieldWeight in 3445, 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=3445)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Date
- 25. 8.2005 17:42:22
- Type
- a
-
Bhogal, J.; Macfarlane, A.; Smith, P.: ¬A review of ontology based query expansion (2007)
0.05
0.047960103 = product of:
0.05995013 = sum of:
0.0034134248 = product of:
0.030720823 = sum of:
0.030720823 = weight(_text_:p in 919) [ClassicSimilarity], result of:
0.030720823 = score(doc=919,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.27807623 = fieldWeight in 919, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.0546875 = fieldNorm(doc=919)
0.11111111 = coord(1/9)
0.0070646433 = weight(_text_:a in 919) [ClassicSimilarity], result of:
0.0070646433 = score(doc=919,freq=10.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.19940455 = fieldWeight in 919, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=919)
0.025479238 = weight(_text_:u in 919) [ClassicSimilarity], result of:
0.025479238 = score(doc=919,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.25324488 = fieldWeight in 919, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0546875 = fieldNorm(doc=919)
0.023992823 = weight(_text_:j in 919) [ClassicSimilarity], result of:
0.023992823 = score(doc=919,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.24574696 = fieldWeight in 919, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0546875 = fieldNorm(doc=919)
0.8 = coord(4/5)
- Abstract
- This paper examines the meaning of context in relation to ontology based query expansion and contains a review of query expansion approaches. The various query expansion approaches include relevance feedback, corpus dependent knowledge models and corpus independent knowledge models. Case studies detailing query expansion using domain-specific and domain-independent ontologies are also included. The penultimate section attempts to synthesise the information obtained from the review and provide success factors in using an ontology for query expansion. Finally the area of further research in applying context from an ontology to query expansion within a newswire domain is described.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004)
0.04
0.041884486 = product of:
0.052355606 = sum of:
0.0029257927 = product of:
0.026332134 = sum of:
0.026332134 = weight(_text_:p in 2419) [ClassicSimilarity], result of:
0.026332134 = score(doc=2419,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.23835106 = fieldWeight in 2419, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.046875 = fieldNorm(doc=2419)
0.11111111 = coord(1/9)
0.0060554086 = weight(_text_:a in 2419) [ClassicSimilarity], result of:
0.0060554086 = score(doc=2419,freq=10.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.1709182 = fieldWeight in 2419, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=2419)
0.0308855 = weight(_text_:u in 2419) [ClassicSimilarity], result of:
0.0308855 = score(doc=2419,freq=4.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.30697915 = fieldWeight in 2419, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.046875 = fieldNorm(doc=2419)
0.012488906 = product of:
0.024977813 = sum of:
0.024977813 = weight(_text_:22 in 2419) [ClassicSimilarity], result of:
0.024977813 = score(doc=2419,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.23214069 = fieldWeight in 2419, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2419)
0.5 = coord(1/2)
0.8 = coord(4/5)
- Abstract
- The digital library system Daffodil is targeted at strategic support of users during the information search process. For searching, exploring and managing digital library objects it provides user-customisable information seeking patterns over a federation of heterogeneous digital libraries. In this paper evaluation results with respect to retrieval effectiveness, efficiency and user satisfaction are presented. The analysis focuses on strategic support for the scientific work-flow. Daffodil supports the whole work-flow, from data source selection over information seeking to the representation, organisation and reuse of information. By embedding high level search functionality into the scientific work-flow, the user experiences better strategic system support due to a more systematic work process. These ideas have been implemented in Daffodil followed by a qualitative evaluation. The evaluation has been conducted with 28 participants, ranging from information seeking novices to experts. The results are promising, as they support the chosen model.
- Date
- 16.11.2008 16:22:48
- Source
- Research and advanced technology for digital libraries : 8th European conference, ECDL 2004, Bath, UK, September 12-17, 2004 : proceedings. Eds.: Heery, R. u. E. Lyon
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Quiroga, L.M.; Mostafa, J.: ¬An experiment in building profiles in information filtering : the role of context of user relevance feedback (2002)
0.03
0.03334728 = product of:
0.0416841 = sum of:
0.0024381608 = product of:
0.021943446 = sum of:
0.021943446 = weight(_text_:p in 2579) [ClassicSimilarity], result of:
0.021943446 = score(doc=2579,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.19862589 = fieldWeight in 2579, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.0390625 = fieldNorm(doc=2579)
0.11111111 = coord(1/9)
0.0039087497 = weight(_text_:a in 2579) [ClassicSimilarity], result of:
0.0039087497 = score(doc=2579,freq=6.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.11032722 = fieldWeight in 2579, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=2579)
0.018199457 = weight(_text_:u in 2579) [ClassicSimilarity], result of:
0.018199457 = score(doc=2579,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.1808892 = fieldWeight in 2579, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=2579)
0.01713773 = weight(_text_:j in 2579) [ClassicSimilarity], result of:
0.01713773 = score(doc=2579,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.17553353 = fieldWeight in 2579, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=2579)
0.8 = coord(4/5)
- Abstract
- An experiment was conducted to see how relevance feedback could be used to build and adjust profiles to improve the performance of filtering systems. Data was collected during the system interaction of 18 graduate students with SIFTER (Smart Information Filtering Technology for Electronic Resources), a filtering system that ranks incoming information based on users' profiles. The data set came from a collection of 6000 records concerning consumer health. In the first phase of the study, three different modes of profile acquisition were compared. The explicit mode allowed users to directly specify the profile; the implicit mode utilized relevance feedback to create and refine the profile; and the combined mode allowed users to initialize the profile and to continuously refine it using relevance feedback. Filtering performance, measured in terms of Normalized Precision, showed that the three approaches were significantly different ( [small alpha, Greek] =0.05 and p =0.012). The explicit mode of profile acquisition consistently produced superior results. Exclusive reliance on relevance feedback in the implicit mode resulted in inferior performance. The low performance obtained by the implicit acquisition mode motivated the second phase of the study, which aimed to clarify the role of context in relevance feedback judgments. An inductive content analysis of thinking aloud protocols showed dimensions that were highly situational, establishing the importance context plays in feedback relevance assessments. Results suggest the need for better representation of documents, profiles, and relevance feedback mechanisms that incorporate dimensions identified in this research.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Robertson, S.E.: ¬The probability ranking principle in IR (1977)
0.03
0.032967843 = product of:
0.0549464 = sum of:
0.0058515854 = product of:
0.05266427 = sum of:
0.05266427 = weight(_text_:p in 1935) [ClassicSimilarity], result of:
0.05266427 = score(doc=1935,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.47670212 = fieldWeight in 1935, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.09375 = fieldNorm(doc=1935)
0.11111111 = coord(1/9)
0.005416122 = weight(_text_:a in 1935) [ClassicSimilarity], result of:
0.005416122 = score(doc=1935,freq=2.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.15287387 = fieldWeight in 1935, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.09375 = fieldNorm(doc=1935)
0.043678693 = weight(_text_:u in 1935) [ClassicSimilarity], result of:
0.043678693 = score(doc=1935,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.43413407 = fieldWeight in 1935, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.09375 = fieldNorm(doc=1935)
0.6 = coord(3/5)
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.
- Type
- a
-
Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988)
0.03
0.032967843 = product of:
0.0549464 = sum of:
0.0058515854 = product of:
0.05266427 = sum of:
0.05266427 = weight(_text_:p in 1938) [ClassicSimilarity], result of:
0.05266427 = score(doc=1938,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.47670212 = fieldWeight in 1938, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.09375 = fieldNorm(doc=1938)
0.11111111 = coord(1/9)
0.005416122 = weight(_text_:a in 1938) [ClassicSimilarity], result of:
0.005416122 = score(doc=1938,freq=2.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.15287387 = fieldWeight in 1938, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.09375 = fieldNorm(doc=1938)
0.043678693 = weight(_text_:u in 1938) [ClassicSimilarity], result of:
0.043678693 = score(doc=1938,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.43413407 = fieldWeight in 1938, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.09375 = fieldNorm(doc=1938)
0.6 = coord(3/5)
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.
- Type
- a
-
Sparck Jones, K.: Search term relevance weighting given little relevance information (1979)
0.03
0.032967843 = product of:
0.0549464 = sum of:
0.0058515854 = product of:
0.05266427 = sum of:
0.05266427 = weight(_text_:p in 1939) [ClassicSimilarity], result of:
0.05266427 = score(doc=1939,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.47670212 = fieldWeight in 1939, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.09375 = fieldNorm(doc=1939)
0.11111111 = coord(1/9)
0.005416122 = weight(_text_:a in 1939) [ClassicSimilarity], result of:
0.005416122 = score(doc=1939,freq=2.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.15287387 = fieldWeight in 1939, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.09375 = fieldNorm(doc=1939)
0.043678693 = weight(_text_:u in 1939) [ClassicSimilarity], result of:
0.043678693 = score(doc=1939,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.43413407 = fieldWeight in 1939, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.09375 = fieldNorm(doc=1939)
0.6 = coord(3/5)
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.329-338.
- Type
- a
-
Faloutsos, C.: Signature files (1992)
0.03
0.0317955 = product of:
0.0529925 = sum of:
0.0072214957 = weight(_text_:a in 3499) [ClassicSimilarity], result of:
0.0072214957 = score(doc=3499,freq=8.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.20383182 = fieldWeight in 3499, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=3499)
0.029119128 = weight(_text_:u in 3499) [ClassicSimilarity], result of:
0.029119128 = score(doc=3499,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.28942272 = fieldWeight in 3499, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0625 = fieldNorm(doc=3499)
0.016651876 = product of:
0.033303753 = sum of:
0.033303753 = weight(_text_:22 in 3499) [ClassicSimilarity], result of:
0.033303753 = score(doc=3499,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.30952093 = fieldWeight in 3499, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=3499)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- Presents a survey and discussion on signature-based text retrieval methods. It describes the main idea behind the signature approach and its advantages over other text retrieval methods, it provides a classification of the signature methods that have appeared in the literature, it describes the main representatives of each class, together with the relative advantages and drawbacks, and it gives a list of applications as well as commercial or university prototypes that use the signature approach
- Date
- 7. 5.1999 15:22:48
- Source
- Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
- Type
- a
-
Nie, J.-Y.: Query expansion and query translation as logical inference (2003)
0.03
0.029076021 = product of:
0.048460033 = sum of:
0.0060554086 = weight(_text_:a in 1425) [ClassicSimilarity], result of:
0.0060554086 = score(doc=1425,freq=10.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.1709182 = fieldWeight in 1425, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.021839347 = weight(_text_:u in 1425) [ClassicSimilarity], result of:
0.021839347 = score(doc=1425,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.21706703 = fieldWeight in 1425, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.020565277 = weight(_text_:j in 1425) [ClassicSimilarity], result of:
0.020565277 = score(doc=1425,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.21064025 = fieldWeight in 1425, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.6 = coord(3/5)
- Abstract
- A number of studies have examined the problems of query expansion in monolingual Information Retrieval (IR), and query translation for crosslanguage IR. However, no link has been made between them. This article first shows that query translation is a special case of query expansion. There is also another set of studies an inferential IR. Again, there is no relationship established with query translation or query expansion. The second claim of this article is that logical inference is a general form that covers query expansion and query translation. This analysis provides a unified view of different subareas of IR. We further develop the inferential IR approach in two particular contexts: using fuzzy logic and probability theory. The evaluation formulas obtained are shown to strongly correspond to those used in other IR models. This indicates that inference is indeed the core of advanced IR.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998)
0.03
0.02731313 = product of:
0.04552188 = sum of:
0.0054722494 = weight(_text_:a in 1319) [ClassicSimilarity], result of:
0.0054722494 = score(doc=1319,freq=6.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.1544581 = fieldWeight in 1319, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=1319)
0.025479238 = weight(_text_:u in 1319) [ClassicSimilarity], result of:
0.025479238 = score(doc=1319,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.25324488 = fieldWeight in 1319, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0546875 = fieldNorm(doc=1319)
0.014570392 = product of:
0.029140783 = sum of:
0.029140783 = weight(_text_:22 in 1319) [ClassicSimilarity], result of:
0.029140783 = score(doc=1319,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.2708308 = fieldWeight in 1319, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=1319)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- Keyword based querying has been an immediate and efficient way to specify and retrieve related information that the user inquired. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given. Proposes an idea to integrate 2 existing techniques, query expansion and relevance feedback to achieve a concept-based information search for the Web
- Date
- 1. 8.1996 22:08:06
- Footnote
- Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Srinivasan, P.: Query expansion and MEDLINE (1996)
0.02
0.024145009 = product of:
0.04024168 = sum of:
0.003901057 = product of:
0.035109513 = sum of:
0.035109513 = weight(_text_:p in 8453) [ClassicSimilarity], result of:
0.035109513 = score(doc=8453,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.31780142 = fieldWeight in 8453, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.0625 = fieldNorm(doc=8453)
0.11111111 = coord(1/9)
0.0072214957 = weight(_text_:a in 8453) [ClassicSimilarity], result of:
0.0072214957 = score(doc=8453,freq=8.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.20383182 = fieldWeight in 8453, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=8453)
0.029119128 = weight(_text_:u in 8453) [ClassicSimilarity], result of:
0.029119128 = score(doc=8453,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.28942272 = fieldWeight in 8453, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0625 = fieldNorm(doc=8453)
0.6 = coord(3/5)
- Abstract
- Evaluates the retrieval effectiveness of query expansion strategies on a test collection of the medical database MEDLINE using Cornell University's SMART retrieval system. Tests 3 expansion strategies for their ability to identify appropriate MeSH terms for user queries. Compares retrieval effectiveness using the original unexpanded and the alternative expanded user queries on a collection of 75 queries and 2.334 Medline citations. Recommends query expansions using retrieval feedback for adding MeSH search terms to a user's initial query
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Rada, R.; Barlow, J.; Potharst, J.; Zanstra, P.; Bijstra, D.: Document ranking using an enriched thesaurus (1991)
0.02
0.023504607 = product of:
0.039174344 = sum of:
0.0029257927 = product of:
0.026332134 = sum of:
0.026332134 = weight(_text_:p in 6626) [ClassicSimilarity], result of:
0.026332134 = score(doc=6626,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.23835106 = fieldWeight in 6626, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.046875 = fieldNorm(doc=6626)
0.11111111 = coord(1/9)
0.007164856 = weight(_text_:a in 6626) [ClassicSimilarity], result of:
0.007164856 = score(doc=6626,freq=14.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.20223314 = fieldWeight in 6626, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=6626)
0.029083695 = weight(_text_:j in 6626) [ClassicSimilarity], result of:
0.029083695 = score(doc=6626,freq=4.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.2978903 = fieldWeight in 6626, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=6626)
0.6 = coord(3/5)
- Abstract
- A thesaurus may be viewed as a graph, and document retrieval algorithms can exploit this graph when both the documents and the query are represented by thesaurus terms. These retrieval algorithms measure the distance between the query and documents by using the path lengths in the graph. Previous work witj such strategies has shown that the hierarchical relations in the thesaurus are useful but the non-hierarchical are not. This paper shows that when the query explicitly mentions a particular non-hierarchical relation, the retrieval algorithm benefits from the presence of such relations in the thesaurus. Our algorithms were applied to the Excerpta Medica bibliographic citation database whose citations are indexed with terms from the EMTREE thesaurus. We also created an enriched EMTREE by systematically adding non-hierarchical relations from a medical knowledge base. Our algorithms used at one time EMTREE and, at another time, the enriched EMTREE in the course of ranking documents from Excerpta Medica against queries. When, and only when, the query specifically mentioned a particular non-hierarchical relation type, did EMTREE enriched with that relation type lead to a ranking that better corresponded to an expert's ranking
- Type
- a
-
Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003)
0.02
0.023082184 = product of:
0.038470306 = sum of:
0.005416122 = weight(_text_:a in 2717) [ClassicSimilarity], result of:
0.005416122 = score(doc=2717,freq=8.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.15287387 = fieldWeight in 2717, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=2717)
0.020565277 = weight(_text_:j in 2717) [ClassicSimilarity], result of:
0.020565277 = score(doc=2717,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.21064025 = fieldWeight in 2717, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.046875 = fieldNorm(doc=2717)
0.012488906 = product of:
0.024977813 = sum of:
0.024977813 = weight(_text_:22 in 2717) [ClassicSimilarity], result of:
0.024977813 = score(doc=2717,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.23214069 = fieldWeight in 2717, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2717)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- Previous work an search-engine design has indicated that information-seekers may benefit from being given the opportunity to exploit multiple sources of evidence of document relatedness. Few existing systems, however, give users more than minimal control over the selections that may be made among methods of exploitation. By applying the methods of "document network analysis" (DNA), a unifying, graph-theoretic model of content-, collaboration-, and context-based systems (CCC) may be developed in which the nature of the similarities between types of document relatedness and document ranking are clarified. The usefulness of the approach to system design suggested by this model may be tested by constructing and evaluating a prototype system (UCXtra) that allows searchers to maintain control over the multiple ways in which document collections may be ranked and re-ranked.
- Date
- 11. 9.2004 17:32:22
- Type
- a
-
Jiang, J.-D.; Jiang, J.-Y.; Cheng, P.-J.: Cocluster hypothesis and ranking consistency for relevance ranking in web search (2019)
0.02
0.022855377 = product of:
0.038092293 = sum of:
0.0024381608 = product of:
0.021943446 = sum of:
0.021943446 = weight(_text_:p in 5247) [ClassicSimilarity], result of:
0.021943446 = score(doc=5247,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.19862589 = fieldWeight in 5247, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.0390625 = fieldNorm(doc=5247)
0.11111111 = coord(1/9)
0.005970713 = weight(_text_:a in 5247) [ClassicSimilarity], result of:
0.005970713 = score(doc=5247,freq=14.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.1685276 = fieldWeight in 5247, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=5247)
0.02968342 = weight(_text_:j in 5247) [ClassicSimilarity], result of:
0.02968342 = score(doc=5247,freq=6.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.304033 = fieldWeight in 5247, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.0390625 = fieldNorm(doc=5247)
0.6 = coord(3/5)
- Abstract
- Conventional approaches to relevance ranking typically optimize ranking models by each query separately. The traditional cluster hypothesis also does not consider the dependency between related queries. The goal of this paper is to leverage similar search intents to perform ranking consistency so that the search performance can be improved accordingly. Different from the previous supervised approach, which learns relevance by click-through data, we propose a novel cocluster hypothesis to bridge the gap between relevance ranking and ranking consistency. A nearest-neighbors test is also designed to measure the extent to which the cocluster hypothesis holds. Based on the hypothesis, we further propose a two-stage unsupervised approach, in which two ranking heuristics and a cost function are developed to optimize the combination of consistency and uniqueness (or inconsistency). Extensive experiments have been conducted on a real and large-scale search engine log. The experimental results not only verify the applicability of the proposed cocluster hypothesis but also show that our approach is effective in boosting the retrieval performance of the commercial search engine and reaches a comparable performance to the supervised approach.
- Type
- a
-
Daniowicz, C.; Baliski, J.: Document ranking based upon Markov chains (2001)
0.02
0.021721782 = product of:
0.054304454 = sum of:
0.0063188085 = weight(_text_:a in 5388) [ClassicSimilarity], result of:
0.0063188085 = score(doc=5388,freq=2.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.17835285 = fieldWeight in 5388, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.109375 = fieldNorm(doc=5388)
0.047985647 = weight(_text_:j in 5388) [ClassicSimilarity], result of:
0.047985647 = score(doc=5388,freq=2.0), product of:
0.09763223 = queryWeight, product of:
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.03072615 = queryNorm
0.4914939 = fieldWeight in 5388, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1774964 = idf(docFreq=5010, maxDocs=44218)
0.109375 = fieldNorm(doc=5388)
0.4 = coord(2/5)
- Type
- a
-
Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003)
0.02
0.021654941 = product of:
0.036091566 = sum of:
0.0074846856 = weight(_text_:a in 1428) [ClassicSimilarity], result of:
0.0074846856 = score(doc=1428,freq=22.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.21126054 = fieldWeight in 1428, product of:
4.690416 = tf(freq=22.0), with freq of:
22.0 = termFreq=22.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=1428)
0.018199457 = weight(_text_:u in 1428) [ClassicSimilarity], result of:
0.018199457 = score(doc=1428,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.1808892 = fieldWeight in 1428, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=1428)
0.010407423 = product of:
0.020814845 = sum of:
0.020814845 = weight(_text_:22 in 1428) [ClassicSimilarity], result of:
0.020814845 = score(doc=1428,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.19345059 = fieldWeight in 1428, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1428)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. This article furnishes an account of information inference from a psychologistic stance. By drawing an theories from nonclassical logic and applied cognition, an information inference mechanism is proposed that makes inferences via computations of information flow through an approximation of a conceptual space. Within a conceptual space information is represented geometrically. In this article, geometric representations of words are realized as vectors in a high dimensional semantic space, which is automatically constructed from a text corpus. Two approaches were presented for priming vector representations according to context. The first approach uses a concept combination heuristic to adjust the vector representation of a concept in the light of the representation of another concept. The second approach computes a prototypical concept an the basis of exemplar trace texts and moves it in the dimensional space according to the context. Information inference is evaluated by measuring the effectiveness of query models derived by information flow computations. Results show that information flow contributes significantly to query model effectiveness, particularly with respect to precision. Moreover, retrieval effectiveness compares favorably with two probabilistic query models, and another based an semantic association. More generally, this article can be seen as a contribution towards realizing operational systems that mimic text-based human reasoning.
- Date
- 22. 3.2003 19:35:46
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006)
0.02
0.020480812 = product of:
0.034134686 = sum of:
0.0055278065 = weight(_text_:a in 56) [ClassicSimilarity], result of:
0.0055278065 = score(doc=56,freq=12.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.15602624 = fieldWeight in 56, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.018199457 = weight(_text_:u in 56) [ClassicSimilarity], result of:
0.018199457 = score(doc=56,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.1808892 = fieldWeight in 56, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.010407423 = product of:
0.020814845 = sum of:
0.020814845 = weight(_text_:22 in 56) [ClassicSimilarity], result of:
0.020814845 = score(doc=56,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.19345059 = fieldWeight in 56, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- The study reported here investigated the query expansion behavior of end-users interacting with a thesaurus-enhanced search system on the Web. Two groups, namely academic staff and postgraduate students, were recruited into this study. Data were collected from 90 searches performed by 30 users using the OVID interface to the CAB abstracts database. Data-gathering techniques included questionnaires, screen capturing software, and interviews. The results presented here relate to issues of search-topic and search-term characteristics, number and types of expanded queries, usefulness of thesaurus terms, and behavioral differences between academic staff and postgraduate students in their interaction. The key conclusions drawn were that (a) academic staff chose more narrow and synonymous terms than did postgraduate students, who generally selected broader and related terms; (b) topic complexity affected users' interaction with the thesaurus in that complex topics required more query expansion and search term selection; (c) users' prior topic-search experience appeared to have a significant effect on their selection and evaluation of thesaurus terms; (d) in 50% of the searches where additional terms were suggested from the thesaurus, users stated that they had not been aware of the terms at the beginning of the search; this observation was particularly noticeable in the case of postgraduate students.
- Date
- 22. 7.2006 16:32:43
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995)
0.02
0.020191833 = product of:
0.033653054 = sum of:
0.005046174 = weight(_text_:a in 5697) [ClassicSimilarity], result of:
0.005046174 = score(doc=5697,freq=10.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.14243183 = fieldWeight in 5697, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=5697)
0.018199457 = weight(_text_:u in 5697) [ClassicSimilarity], result of:
0.018199457 = score(doc=5697,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.1808892 = fieldWeight in 5697, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=5697)
0.010407423 = product of:
0.020814845 = sum of:
0.020814845 = weight(_text_:22 in 5697) [ClassicSimilarity], result of:
0.020814845 = score(doc=5697,freq=2.0), product of:
0.10759774 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03072615 = queryNorm
0.19345059 = fieldWeight in 5697, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5697)
0.5 = coord(1/2)
0.6 = coord(3/5)
- Abstract
- The performance of 8 ranking algorithms was evaluated with respect to their effectiveness in ranking terms for query expansion. The evaluation was conducted within an investigation of interactive query expansion and relevance feedback in a real operational environment. Focuses on the identification of algorithms that most effectively take cognizance of user preferences. user choices (i.e. the terms selected by the searchers for the query expansion search) provided the yardstick for the evaluation of the 8 ranking algorithms. This methodology introduces a user oriented approach in evaluating ranking algorithms for query expansion in contrast to the standard, system oriented approaches. Similarities in the performance of the 8 algorithms and the ways these algorithms rank terms were the main focus of this evaluation. The findings demonstrate that the r-lohi, wpq, enim, and porter algorithms have similar performance in bringing good terms to the top of a ranked list of terms for query expansion. However, further evaluation of the algorithms in different (e.g. full text) environments is needed before these results can be generalized beyond the context of the present study
- Date
- 22. 2.1996 13:14:10
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
Robertson, S.E.: OKAPI at TREC-3 (1995)
0.02
0.020016441 = product of:
0.033360735 = sum of:
0.0034134248 = product of:
0.030720823 = sum of:
0.030720823 = weight(_text_:p in 5694) [ClassicSimilarity], result of:
0.030720823 = score(doc=5694,freq=2.0), product of:
0.11047626 = queryWeight, product of:
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.03072615 = queryNorm
0.27807623 = fieldWeight in 5694, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5955126 = idf(docFreq=3298, maxDocs=44218)
0.0546875 = fieldNorm(doc=5694)
0.11111111 = coord(1/9)
0.0044680727 = weight(_text_:a in 5694) [ClassicSimilarity], result of:
0.0044680727 = score(doc=5694,freq=4.0), product of:
0.035428695 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.03072615 = queryNorm
0.12611452 = fieldWeight in 5694, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=5694)
0.025479238 = weight(_text_:u in 5694) [ClassicSimilarity], result of:
0.025479238 = score(doc=5694,freq=2.0), product of:
0.10061107 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.03072615 = queryNorm
0.25324488 = fieldWeight in 5694, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0546875 = fieldNorm(doc=5694)
0.6 = coord(3/5)
- Abstract
- Reports text information retrieval experiments performed as part of the 3 rd round of Text Retrieval Conferences (TREC) using the Okapi online catalogue system at City University, UK. The emphasis in TREC-3 was: further refinement of term weighting functions; an investigation of run time passage determination and searching; expansion of ad hoc queries by terms extracted from the top documents retrieved by a trial search; new methods for choosing query expansion terms after relevance feedback, now split into methods of ranking terms prior to selection and subsequent selection procedures; and the development of a user interface procedure within the new TREC interactive search framework
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- p
