-
Ning, X.; Jin, H.; Wu, H.: RSS: a framework enabling ranked search on the semantic web (2008)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 2069) [ClassicSimilarity], result of:
0.0049332716 = score(doc=2069,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 2069, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2069)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Information processing and management. 44(2008) no.2, S.893-909
-
Li, X.: ¬A new robust relevance model in the language model framework (2008)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 2076) [ClassicSimilarity], result of:
0.0049332716 = score(doc=2076,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 2076, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2076)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Information processing and management. 44(2008) no.3, S.991-1007
-
Wan, X.; Yang, J.; Xiao, J.: Towards a unified approach to document similarity search using manifold-ranking of blocks (2008)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 2081) [ClassicSimilarity], result of:
0.0049332716 = score(doc=2081,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 2081, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2081)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Information processing and management. 44(2008) no.3, S.1032-1048
-
Wei, F.; Li, W.; Liu, S.: iRANK: a rank-learn-combine framework for unsupervised ensemble ranking (2010)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 3472) [ClassicSimilarity], result of:
0.0049332716 = score(doc=3472,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 3472, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=3472)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1232-1243
-
Schaefer, A.; Jordan, M.; Klas, C.-P.; Fuhr, N.: Active support for query formulation in virtual digital libraries : a case study with DAFFODIL (2005)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 4296) [ClassicSimilarity], result of:
0.0049332716 = score(doc=4296,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 4296, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4296)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Abstract
- Daffodil is a front-end to federated, heterogeneous digital libraries targeting at strategic support of users during the information seeking process. This is done by offering a variety of functions for searching, exploring and managing digital library objects. However, the distributed search increases response time and the conceptual model of the underlying search processes is inherently weaker. This makes query formulation harder and the resulting waiting times can be frustrating. In this paper, we investigate the concept of proactive support during the user's query formulation. For improving user efficiency and satisfaction, we implemented annotations, proactive support and error markers on the query form itself. These functions decrease the probability for syntactical or semantical errors in queries. Furthermore, the user is able to make better tactical decisions and feels more confident that the system handles the query properly. Evaluations with 30 subjects showed that user satisfaction is improved, whereas no conclusive results were received for efficiency.
-
He, J.; Meij, E.; Rijke, M. de: Result diversification based on query-specific cluster ranking (2011)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 4355) [ClassicSimilarity], result of:
0.0049332716 = score(doc=4355,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 4355, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4355)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.550-571
-
Silva, R.M.; Gonçalves, M.A.; Veloso, A.: ¬A Two-stage active learning method for learning to rank (2014)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 1184) [ClassicSimilarity], result of:
0.0049332716 = score(doc=1184,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 1184, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1184)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.1, S.109-128
-
Tsai, C.-F.; Hu, Y.-H.; Chen, Z.-Y.: Factors affecting rocchio-based pseudorelevance feedback in image retrieval (2015)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 1607) [ClassicSimilarity], result of:
0.0049332716 = score(doc=1607,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 1607, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1607)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.40-57
-
Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 4460) [ClassicSimilarity], result of:
0.0049332716 = score(doc=4460,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 4460, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4460)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1109-1121
-
Jiang, J.-D.; Jiang, J.-Y.; Cheng, P.-J.: Cocluster hypothesis and ranking consistency for relevance ranking in web search (2019)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 5247) [ClassicSimilarity], result of:
0.0049332716 = score(doc=5247,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 5247, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5247)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.6, S.535-546
-
Purpura, A.; Silvello, G.; Susto, G.A.: Learning to rank from relevance judgments distributions (2022)
0.00
1.6444239E-4 = product of:
0.0024666358 = sum of:
0.0024666358 = product of:
0.0049332716 = sum of:
0.0049332716 = weight(_text_:information in 645) [ClassicSimilarity], result of:
0.0049332716 = score(doc=645,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.09697737 = fieldWeight in 645, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=645)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.9, S.1236-1252
-
Efthimiadis, E.N.: Interactive query expansion : a user-based evaluation in a relevance feedback environment (2000)
0.00
1.3155391E-4 = product of:
0.0019733086 = sum of:
0.0019733086 = product of:
0.0039466172 = sum of:
0.0039466172 = weight(_text_:information in 5701) [ClassicSimilarity], result of:
0.0039466172 = score(doc=5701,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.0775819 = fieldWeight in 5701, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=5701)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Source
- Journal of the American Society for Information Science. 51(2000) no.11, S.989-1003
-
Bar-Ilan, J.; Levene, M.; Mat-Hassan, M.: Methods for evaluating dynamic changes in search engine rankings : a case study (2006)
0.00
1.3155391E-4 = product of:
0.0019733086 = sum of:
0.0019733086 = product of:
0.0039466172 = sum of:
0.0039466172 = weight(_text_:information in 616) [ClassicSimilarity], result of:
0.0039466172 = score(doc=616,freq=2.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.0775819 = fieldWeight in 616, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=616)
0.5 = coord(1/2)
0.06666667 = coord(1/15)
- Abstract
- Purpose - The objective of this paper is to characterize the changes in the rankings of the top ten results of major search engines over time and to compare the rankings between these engines. Design/methodology/approach - The papers compare rankings of the top-ten results of the search engines Google and AlltheWeb on ten identical queries over a period of three weeks. Only the top-ten results were considered, since users do not normally inspect more than the first results page returned by a search engine. The experiment was repeated twice, in October 2003 and in January 2004, in order to assess changes to the top-ten results of some of the queries during the three months interval. In order to assess the changes in the rankings, three measures were computed for each data collection point and each search engine. Findings - The findings in this paper show that the rankings of AlltheWeb were highly stable over each period, while the rankings of Google underwent constant yet minor changes, with occasional major ones. Changes over time can be explained by the dynamic nature of the web or by fluctuations in the search engines' indexes. The top-ten results of the two search engines had surprisingly low overlap. With such small overlap, the task of comparing the rankings of the two engines becomes extremely challenging. Originality/value - The paper shows that because of the abundance of information on the web, ranking search results is of extreme importance. The paper compares several measures for computing the similarity between rankings of search tools, and shows that none of the measures is fully satisfactory as a standalone measure. It also demonstrates the apparent differences in the ranking algorithms of two widely used search engines.
