-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
0.06
0.06305049 = product of:
0.12610099 = sum of:
0.12610099 = sum of:
0.011086896 = weight(_text_:s in 402) [ClassicSimilarity], result of:
0.011086896 = score(doc=402,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.19219826 = fieldWeight in 402, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.125 = fieldNorm(doc=402)
0.11501409 = weight(_text_:22 in 402) [ClassicSimilarity], result of:
0.11501409 = score(doc=402,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.61904186 = fieldWeight in 402, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.125 = fieldNorm(doc=402)
0.5 = coord(1/2)
- Source
- Information processing and management. 22(1986) no.6, S.465-476
-
Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013)
0.06
0.0609428 = sum of:
0.021536238 = product of:
0.086144954 = sum of:
0.086144954 = weight(_text_:authors in 664) [ClassicSimilarity], result of:
0.086144954 = score(doc=664,freq=4.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.35615736 = fieldWeight in 664, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.0390625 = fieldNorm(doc=664)
0.25 = coord(1/4)
0.03940656 = sum of:
0.003464655 = weight(_text_:s in 664) [ClassicSimilarity], result of:
0.003464655 = score(doc=664,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.060061958 = fieldWeight in 664, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=664)
0.035941906 = weight(_text_:22 in 664) [ClassicSimilarity], result of:
0.035941906 = score(doc=664,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.19345059 = fieldWeight in 664, 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=664)
- Abstract
- A new challenge, accessing multiple relevant entities, arises from the availability of linked heterogeneous data. In this article, we address more specifically the problem of accessing relevant entities, such as publications and authors within a bibliographic network, given an information need. We propose a novel algorithm, called BibRank, that estimates a joint relevance of documents and authors within a bibliographic network. This model ranks each type of entity using a score propagation algorithm with respect to the query topic and the structure of the underlying bi-type information entity network. Evidence sources, namely content-based and network-based scores, are both used to estimate the topical similarity between connected entities. For this purpose, authorship relationships are analyzed through a language model-based score on the one hand and on the other hand, non topically related entities of the same type are detected through marginal citations. The article reports the results of experiments using the Bibrank algorithm for an information retrieval task. The CiteSeerX bibliographic data set forms the basis for the topical query automatic generation and evaluation. We show that a statistically significant improvement over closely related ranking models is achieved.
- Date
- 22. 3.2013 19:34:49
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.500-515
-
Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983)
0.06
0.055169184 = product of:
0.11033837 = sum of:
0.11033837 = sum of:
0.009701034 = weight(_text_:s in 2134) [ClassicSimilarity], result of:
0.009701034 = score(doc=2134,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.16817348 = fieldWeight in 2134, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.109375 = fieldNorm(doc=2134)
0.10063733 = weight(_text_:22 in 2134) [ClassicSimilarity], result of:
0.10063733 = score(doc=2134,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = 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)
- Date
- 30. 3.2001 13:32:22
- Source
- Computer journal. 26(1983), S.239-246
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
0.06
0.055169184 = product of:
0.11033837 = sum of:
0.11033837 = sum of:
0.009701034 = weight(_text_:s in 3445) [ClassicSimilarity], result of:
0.009701034 = score(doc=3445,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.16817348 = fieldWeight in 3445, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.109375 = fieldNorm(doc=3445)
0.10063733 = weight(_text_:22 in 3445) [ClassicSimilarity], result of:
0.10063733 = score(doc=3445,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = 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)
- Date
- 25. 8.2005 17:42:22
- Source
- Library and information research news. 24(2000) no.77, S.30-34
-
Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986)
0.05
0.047287866 = product of:
0.09457573 = sum of:
0.09457573 = sum of:
0.008315171 = weight(_text_:s in 58) [ClassicSimilarity], result of:
0.008315171 = score(doc=58,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.14414869 = fieldWeight in 58, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.09375 = fieldNorm(doc=58)
0.086260565 = weight(_text_:22 in 58) [ClassicSimilarity], result of:
0.086260565 = score(doc=58,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.46428138 = fieldWeight in 58, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=58)
0.5 = coord(1/2)
- Date
- 14. 6.2015 22:12:44
- Pages
- S.222-238
-
Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986)
0.05
0.047287866 = product of:
0.09457573 = sum of:
0.09457573 = sum of:
0.008315171 = weight(_text_:s in 2051) [ClassicSimilarity], result of:
0.008315171 = score(doc=2051,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.14414869 = fieldWeight in 2051, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.09375 = fieldNorm(doc=2051)
0.086260565 = weight(_text_:22 in 2051) [ClassicSimilarity], result of:
0.086260565 = score(doc=2051,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.46428138 = fieldWeight in 2051, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=2051)
0.5 = coord(1/2)
- Date
- 14. 6.2015 22:12:56
- Pages
- S.144-162
-
Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009)
0.05
0.04684102 = sum of:
0.044762228 = product of:
0.17904891 = sum of:
0.17904891 = weight(_text_:authors in 3161) [ClassicSimilarity], result of:
0.17904891 = score(doc=3161,freq=12.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.7402591 = fieldWeight in 3161, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=3161)
0.25 = coord(1/4)
0.0020787928 = product of:
0.0041575856 = sum of:
0.0041575856 = weight(_text_:s in 3161) [ClassicSimilarity], result of:
0.0041575856 = score(doc=3161,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.072074346 = fieldWeight in 3161, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=3161)
0.5 = coord(1/2)
- Abstract
- This paper studies how varied damping factors in the PageRank algorithm influence the ranking of authors and proposes weighted PageRank algorithms. We selected the 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculated the ranks of these 108 authors based on PageRank with the damping factor ranging from 0.05 to 0.95. In order to test the relationship between different measures, we compared PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centrality measures but does significantly correlate with other measures. The key factors that have impact on the PageRank of authors in the author co-citation network are being co-cited with important authors.
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2229-2243
-
Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004)
0.04
0.038244486 = sum of:
0.010659893 = product of:
0.042639572 = sum of:
0.042639572 = weight(_text_:authors in 2509) [ClassicSimilarity], result of:
0.042639572 = score(doc=2509,freq=2.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.17628889 = fieldWeight in 2509, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.02734375 = fieldNorm(doc=2509)
0.25 = coord(1/4)
0.027584592 = sum of:
0.0024252585 = weight(_text_:s in 2509) [ClassicSimilarity], result of:
0.0024252585 = score(doc=2509,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.04204337 = fieldWeight in 2509, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.02734375 = fieldNorm(doc=2509)
0.025159333 = weight(_text_:22 in 2509) [ClassicSimilarity], result of:
0.025159333 = score(doc=2509,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.1354154 = fieldWeight in 2509, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02734375 = fieldNorm(doc=2509)
- Abstract
- A relevancy-ranking algorithm for a natural language interface to Boolean online public access catalogs (OPACs) was formulated and compared with that currently used in a knowledge-based search interface called the E-Referencer, being developed by the authors. The algorithm makes use of seven weIl-known ranking criteria: breadth of match, section weighting, proximity of query words, variant word forms (stemming), document frequency, term frequency and document length. The algorithm converts a natural language query into a series of increasingly broader Boolean search statements. In a small experiment with ten subjects in which the algorithm was simulated by hand, the algorithm obtained good results with a mean overall precision of 0.42 and mean average precision of 0.62, representing a 27 percent improvement in precision and 41 percent improvement in average precision compared to the E-Referencer. The usefulness of each step in the algorithm was analyzed and suggestions are made for improving the algorithm.
- Source
- Electronic library. 22(2004) no.2, S.112-120
-
Ding, Y.: Topic-based PageRank on author cocitation networks (2011)
0.03
0.03373047 = sum of:
0.031651676 = product of:
0.1266067 = sum of:
0.1266067 = weight(_text_:authors in 4348) [ClassicSimilarity], result of:
0.1266067 = score(doc=4348,freq=6.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.52344227 = fieldWeight in 4348, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=4348)
0.25 = coord(1/4)
0.0020787928 = product of:
0.0041575856 = sum of:
0.0041575856 = weight(_text_:s in 4348) [ClassicSimilarity], result of:
0.0041575856 = score(doc=4348,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.072074346 = fieldWeight in 4348, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=4348)
0.5 = coord(1/2)
- Abstract
- Ranking authors is vital for identifying a researcher's impact and standing within a scientific field. There are many different ranking methods (e.g., citations, publications, h-index, PageRank, and weighted PageRank), but most of them are topic-independent. This paper proposes topic-dependent ranks based on the combination of a topic model and a weighted PageRank algorithm. The author-conference-topic (ACT) model was used to extract topic distribution of individual authors. Two ways for combining the ACT model with the PageRank algorithm are proposed: simple combination (I_PR) or using a topic distribution as a weighted vector for PageRank (PR_t). Information retrieval was chosen as the test field and representative authors for different topics at different time phases were identified. Principal component analysis (PCA) was applied to analyze the ranking difference between I_PR and PR_t.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.449-466
-
MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004)
0.03
0.031525247 = product of:
0.06305049 = sum of:
0.06305049 = sum of:
0.005543448 = weight(_text_:s in 5108) [ClassicSimilarity], result of:
0.005543448 = score(doc=5108,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.09609913 = fieldWeight in 5108, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=5108)
0.057507046 = weight(_text_:22 in 5108) [ClassicSimilarity], result of:
0.057507046 = score(doc=5108,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.30952093 = fieldWeight in 5108, 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=5108)
0.5 = coord(1/2)
- Date
- 20. 1.2007 18:30:22
- Source
- Aslib proceedings. 56(2004) no.4, S.201-211
-
Faloutsos, C.: Signature files (1992)
0.03
0.031525247 = product of:
0.06305049 = sum of:
0.06305049 = sum of:
0.005543448 = weight(_text_:s in 3499) [ClassicSimilarity], result of:
0.005543448 = score(doc=3499,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.09609913 = fieldWeight in 3499, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=3499)
0.057507046 = weight(_text_:22 in 3499) [ClassicSimilarity], result of:
0.057507046 = score(doc=3499,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = 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)
- Date
- 7. 5.1999 15:22:48
- Pages
- S.44-65
-
Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003)
0.03
0.031525247 = product of:
0.06305049 = sum of:
0.06305049 = sum of:
0.005543448 = weight(_text_:s in 1422) [ClassicSimilarity], result of:
0.005543448 = score(doc=1422,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.09609913 = fieldWeight in 1422, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=1422)
0.057507046 = weight(_text_:22 in 1422) [ClassicSimilarity], result of:
0.057507046 = score(doc=1422,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.30952093 = fieldWeight in 1422, 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=1422)
0.5 = coord(1/2)
- Date
- 22. 3.2003 19:27:23
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.285-301
-
Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014)
0.03
0.031525247 = product of:
0.06305049 = sum of:
0.06305049 = sum of:
0.005543448 = weight(_text_:s in 1431) [ClassicSimilarity], result of:
0.005543448 = score(doc=1431,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.09609913 = fieldWeight in 1431, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=1431)
0.057507046 = weight(_text_:22 in 1431) [ClassicSimilarity], result of:
0.057507046 = score(doc=1431,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.30952093 = fieldWeight in 1431, 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=1431)
0.5 = coord(1/2)
- Date
- 22. 8.2014 17:05:18
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1939-1943
-
Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014)
0.03
0.031525247 = product of:
0.06305049 = sum of:
0.06305049 = sum of:
0.005543448 = weight(_text_:s in 1484) [ClassicSimilarity], result of:
0.005543448 = score(doc=1484,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.09609913 = fieldWeight in 1484, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0625 = fieldNorm(doc=1484)
0.057507046 = weight(_text_:22 in 1484) [ClassicSimilarity], result of:
0.057507046 = score(doc=1484,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.30952093 = fieldWeight in 1484, 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=1484)
0.5 = coord(1/2)
- Date
- 13. 9.2014 14:45:22
- Pages
- 91 S
-
Wei, F.; Li, W.; Liu, S.: iRANK: a rank-learn-combine framework for unsupervised ensemble ranking (2010)
0.03
0.028826281 = sum of:
0.0263764 = product of:
0.1055056 = sum of:
0.1055056 = weight(_text_:authors in 3472) [ClassicSimilarity], result of:
0.1055056 = score(doc=3472,freq=6.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.43620193 = fieldWeight in 3472, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.0390625 = fieldNorm(doc=3472)
0.25 = coord(1/4)
0.002449881 = product of:
0.004899762 = sum of:
0.004899762 = weight(_text_:s in 3472) [ClassicSimilarity], result of:
0.004899762 = score(doc=3472,freq=4.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.08494043 = fieldWeight in 3472, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=3472)
0.5 = coord(1/2)
- Abstract
- The authors address the problem of unsupervised ensemble ranking. Traditional approaches either combine multiple ranking criteria into a unified representation to obtain an overall ranking score or to utilize certain rank fusion or aggregation techniques to combine the ranking results. Beyond the aforementioned combine-then-rank and rank-then-combine approaches, the authors propose a novel rank-learn-combine ranking framework, called Interactive Ranking (iRANK), which allows two base rankers to teach each other before combination during the ranking process by providing their own ranking results as feedback to the others to boost the ranking performance. This mutual ranking refinement process continues until the two base rankers cannot learn from each other any more. The overall performance is improved by the enhancement of the base rankers through the mutual learning mechanism. The authors further design two ranking refinement strategies to efficiently and effectively use the feedback based on reasonable assumptions and rational analysis. Although iRANK is applicable to many applications, as a case study, they apply this framework to the sentence ranking problem in query-focused summarization and evaluate its effectiveness on the DUC 2005 and 2006 data sets. The results are encouraging with consistent and promising improvements.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1232-1243
-
Yan, E.; Ding, Y.; Sugimoto, C.R.: P-Rank: an indicator measuring prestige in heterogeneous scholarly networks (2011)
0.03
0.027922278 = sum of:
0.025843486 = product of:
0.103373945 = sum of:
0.103373945 = weight(_text_:authors in 4349) [ClassicSimilarity], result of:
0.103373945 = score(doc=4349,freq=4.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.42738882 = fieldWeight in 4349, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=4349)
0.25 = coord(1/4)
0.0020787928 = product of:
0.0041575856 = sum of:
0.0041575856 = weight(_text_:s in 4349) [ClassicSimilarity], result of:
0.0041575856 = score(doc=4349,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.072074346 = fieldWeight in 4349, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=4349)
0.5 = coord(1/2)
- Abstract
- Ranking scientific productivity and prestige are often limited to homogeneous networks. These networks are unable to account for the multiple factors that constitute the scholarly communication and reward system. This study proposes a new informetric indicator, P-Rank, for measuring prestige in heterogeneous scholarly networks containing articles, authors, and journals. P-Rank differentiates the weight of each citation based on its citing papers, citing journals, and citing authors. Articles from 16 representative library and information science journals are selected as the dataset. Principle Component Analysis is conducted to examine the relationship between P-Rank and other bibliometric indicators. We also compare the correlation and rank variances between citation counts and P-Rank scores. This work provides a new approach to examining prestige in scholarly communication networks in a more comprehensive and nuanced way.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.467-477
-
Biskri, I.; Rompré, L.: Using association rules for query reformulation (2012)
0.03
0.027922278 = sum of:
0.025843486 = product of:
0.103373945 = sum of:
0.103373945 = weight(_text_:authors in 92) [ClassicSimilarity], result of:
0.103373945 = score(doc=92,freq=4.0), product of:
0.2418733 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.053056188 = queryNorm
0.42738882 = fieldWeight in 92, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=92)
0.25 = coord(1/4)
0.0020787928 = product of:
0.0041575856 = sum of:
0.0041575856 = weight(_text_:s in 92) [ClassicSimilarity], result of:
0.0041575856 = score(doc=92,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.072074346 = fieldWeight in 92, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=92)
0.5 = coord(1/2)
- Abstract
- In this paper the authors will present research on the combination of two methods of data mining: text classification and maximal association rules. Text classification has been the focus of interest of many researchers for a long time. However, the results take the form of lists of words (classes) that people often do not know what to do with. The use of maximal association rules induced a number of advantages: (1) the detection of dependencies and correlations between the relevant units of information (words) of different classes, (2) the extraction of hidden knowledge, often relevant, from a large volume of data. The authors will show how this combination can improve the process of information retrieval.
- Pages
- S.291-303
-
Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998)
0.03
0.027584592 = product of:
0.055169184 = sum of:
0.055169184 = sum of:
0.004850517 = weight(_text_:s in 1319) [ClassicSimilarity], result of:
0.004850517 = score(doc=1319,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.08408674 = fieldWeight in 1319, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=1319)
0.050318666 = weight(_text_:22 in 1319) [ClassicSimilarity], result of:
0.050318666 = score(doc=1319,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = 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)
- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 30(1998) nos.1/7, S.621-623
-
Kanaeva, Z.: Ranking: Google und CiteSeer (2005)
0.03
0.027584592 = product of:
0.055169184 = sum of:
0.055169184 = sum of:
0.004850517 = weight(_text_:s in 3276) [ClassicSimilarity], result of:
0.004850517 = score(doc=3276,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.08408674 = fieldWeight in 3276, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=3276)
0.050318666 = weight(_text_:22 in 3276) [ClassicSimilarity], result of:
0.050318666 = score(doc=3276,freq=2.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.2708308 = fieldWeight in 3276, 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=3276)
0.5 = coord(1/2)
- Date
- 20. 3.2005 16:23:22
- Source
- Information - Wissenschaft und Praxis. 56(2005) H.2, S.87-92
-
Ravana, S.D.; Rajagopal, P.; Balakrishnan, V.: Ranking retrieval systems using pseudo relevance judgments (2015)
0.03
0.027147092 = product of:
0.054294184 = sum of:
0.054294184 = sum of:
0.003464655 = weight(_text_:s in 2591) [ClassicSimilarity], result of:
0.003464655 = score(doc=2591,freq=2.0), product of:
0.057684682 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.053056188 = queryNorm
0.060061958 = fieldWeight in 2591, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=2591)
0.05082953 = weight(_text_:22 in 2591) [ClassicSimilarity], result of:
0.05082953 = score(doc=2591,freq=4.0), product of:
0.18579373 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.053056188 = queryNorm
0.27358043 = fieldWeight in 2591, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2591)
0.5 = coord(1/2)
- Date
- 20. 1.2015 18:30:22
18. 9.2018 18:22:56
- Source
- Aslib journal of information management. 67(2015) no.6, S.700-714
