-
Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003)
0.02
0.015174066 = product of:
0.07587033 = sum of:
0.022864813 = weight(_text_:23 in 1422) [ClassicSimilarity], result of:
0.022864813 = score(doc=1422,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.31678912 = fieldWeight in 1422, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0625 = fieldNorm(doc=1422)
0.022864813 = weight(_text_:23 in 1422) [ClassicSimilarity], result of:
0.022864813 = score(doc=1422,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.31678912 = fieldWeight in 1422, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0625 = fieldNorm(doc=1422)
0.022864813 = weight(_text_:23 in 1422) [ClassicSimilarity], result of:
0.022864813 = score(doc=1422,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.31678912 = fieldWeight in 1422, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0625 = fieldNorm(doc=1422)
0.007275887 = product of:
0.02182766 = sum of:
0.02182766 = weight(_text_:22 in 1422) [ClassicSimilarity], result of:
0.02182766 = score(doc=1422,freq=2.0), product of:
0.07052079 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02013827 = 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)
0.33333334 = coord(1/3)
0.2 = coord(4/20)
- Date
- 22. 3.2003 19:27:23
-
Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006)
0.01
0.011414727 = product of:
0.057073634 = sum of:
0.017508736 = weight(_text_:software in 56) [ClassicSimilarity], result of:
0.017508736 = score(doc=56,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 56, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.017508736 = weight(_text_:software in 56) [ClassicSimilarity], result of:
0.017508736 = score(doc=56,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 56, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.017508736 = weight(_text_:software in 56) [ClassicSimilarity], result of:
0.017508736 = score(doc=56,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 56, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=56)
0.0045474293 = product of:
0.013642288 = sum of:
0.013642288 = weight(_text_:22 in 56) [ClassicSimilarity], result of:
0.013642288 = score(doc=56,freq=2.0), product of:
0.07052079 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02013827 = 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)
0.33333334 = coord(1/3)
0.2 = coord(4/20)
- 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
-
Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005)
0.01
0.010917367 = product of:
0.07278245 = sum of:
0.024260817 = weight(_text_:software in 7) [ClassicSimilarity], result of:
0.024260817 = score(doc=7,freq=6.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.3036718 = fieldWeight in 7, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.03125 = fieldNorm(doc=7)
0.024260817 = weight(_text_:software in 7) [ClassicSimilarity], result of:
0.024260817 = score(doc=7,freq=6.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.3036718 = fieldWeight in 7, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.03125 = fieldNorm(doc=7)
0.024260817 = weight(_text_:software in 7) [ClassicSimilarity], result of:
0.024260817 = score(doc=7,freq=6.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.3036718 = fieldWeight in 7, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.03125 = fieldNorm(doc=7)
0.15 = coord(3/20)
- Abstract
- The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
- Content
- Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
- Series
- Software, environments, tools; 17
-
Computational information retrieval (2001)
0.01
0.009454718 = product of:
0.06303145 = sum of:
0.021010485 = weight(_text_:software in 4167) [ClassicSimilarity], result of:
0.021010485 = score(doc=4167,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.2629875 = fieldWeight in 4167, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.046875 = fieldNorm(doc=4167)
0.021010485 = weight(_text_:software in 4167) [ClassicSimilarity], result of:
0.021010485 = score(doc=4167,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.2629875 = fieldWeight in 4167, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.046875 = fieldNorm(doc=4167)
0.021010485 = weight(_text_:software in 4167) [ClassicSimilarity], result of:
0.021010485 = score(doc=4167,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.2629875 = fieldWeight in 4167, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.046875 = fieldNorm(doc=4167)
0.15 = coord(3/20)
- Abstract
- This volume contains selected papers that focus on the use of linear algebra, computational statistics, and computer science in the development of algorithms and software systems for text retrieval. Experts in information modeling and retrieval share their perspectives on the design of scalable but precise text retrieval systems, revealing many of the challenges and obstacles that mathematical and statistical models must overcome to be viable for automated text processing. This very useful proceedings is an excellent companion for courses in information retrieval, applied linear algebra, and applied statistics. Computational Information Retrieval provides background material on vector space models for text retrieval that applied mathematicians, statisticians, and computer scientists may not be familiar with. For graduate students in these areas, several research questions in information modeling are exposed. In addition, several case studies concerning the efficacy of the popular Latent Semantic Analysis (or Indexing) approach are provided.
-
Henzinger, M.R.: Link analysis in Web information retrieval (2000)
0.01
0.009428329 = product of:
0.04714164 = sum of:
0.0114324065 = weight(_text_:23 in 801) [ClassicSimilarity], result of:
0.0114324065 = score(doc=801,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.15839456 = fieldWeight in 801, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.03125 = fieldNorm(doc=801)
0.0114324065 = weight(_text_:23 in 801) [ClassicSimilarity], result of:
0.0114324065 = score(doc=801,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.15839456 = fieldWeight in 801, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.03125 = fieldNorm(doc=801)
0.0114324065 = weight(_text_:23 in 801) [ClassicSimilarity], result of:
0.0114324065 = score(doc=801,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.15839456 = fieldWeight in 801, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.03125 = fieldNorm(doc=801)
0.012844422 = product of:
0.025688844 = sum of:
0.025688844 = weight(_text_:engineering in 801) [ClassicSimilarity], result of:
0.025688844 = score(doc=801,freq=2.0), product of:
0.10819342 = queryWeight, product of:
5.372528 = idf(docFreq=557, maxDocs=44218)
0.02013827 = queryNorm
0.23743443 = fieldWeight in 801, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.372528 = idf(docFreq=557, maxDocs=44218)
0.03125 = fieldNorm(doc=801)
0.5 = coord(1/2)
0.2 = coord(4/20)
- Source
- IEEE data engineering bulletin. 23(2000) no.3, S.3-8
-
Schaefer, A.; Jordan, M.; Klas, C.-P.; Fuhr, N.: Active support for query formulation in virtual digital libraries : a case study with DAFFODIL (2005)
0.01
0.009094424 = product of:
0.06062949 = sum of:
0.02020983 = weight(_text_:23 in 4296) [ClassicSimilarity], result of:
0.02020983 = score(doc=4296,freq=4.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.28000468 = fieldWeight in 4296, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4296)
0.02020983 = weight(_text_:23 in 4296) [ClassicSimilarity], result of:
0.02020983 = score(doc=4296,freq=4.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.28000468 = fieldWeight in 4296, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4296)
0.02020983 = weight(_text_:23 in 4296) [ClassicSimilarity], result of:
0.02020983 = score(doc=4296,freq=4.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.28000468 = fieldWeight in 4296, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4296)
0.15 = coord(3/20)
- Date
- 16.11.2008 17:23:50
- Source
- Research and advanced technology for digital libraries : 9th European conference, ECDL 2005, Vienna, Austria, September 18-23, 2005 ; proceedings / Andreas Rauber ... (eds.)
-
Klein, S.T.: On the use of negation in Boolean IR queries. (2009)
0.01
0.009003021 = product of:
0.060020134 = sum of:
0.02000671 = weight(_text_:23 in 3927) [ClassicSimilarity], result of:
0.02000671 = score(doc=3927,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 3927, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=3927)
0.02000671 = weight(_text_:23 in 3927) [ClassicSimilarity], result of:
0.02000671 = score(doc=3927,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 3927, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=3927)
0.02000671 = weight(_text_:23 in 3927) [ClassicSimilarity], result of:
0.02000671 = score(doc=3927,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 3927, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=3927)
0.15 = coord(3/20)
- Date
- 23. 1.2011 13:59:51
-
Ning, X.; Jin, H.; Jia, W.; Yuan, P.: Practical and effective IR-style keyword search over semantic web (2009)
0.01
0.009003021 = product of:
0.060020134 = sum of:
0.02000671 = weight(_text_:23 in 4213) [ClassicSimilarity], result of:
0.02000671 = score(doc=4213,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4213, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4213)
0.02000671 = weight(_text_:23 in 4213) [ClassicSimilarity], result of:
0.02000671 = score(doc=4213,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4213, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4213)
0.02000671 = weight(_text_:23 in 4213) [ClassicSimilarity], result of:
0.02000671 = score(doc=4213,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4213, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4213)
0.15 = coord(3/20)
- Date
- 23. 1.2011 13:55:17
-
García Cumbreras, M.A.; Perea-Ortega, J.M.; García Vega, M.; Ureña López, L.A.: Information retrieval with geographical references : relevant documents filtering vs. query expansion (2009)
0.01
0.009003021 = product of:
0.060020134 = sum of:
0.02000671 = weight(_text_:23 in 4222) [ClassicSimilarity], result of:
0.02000671 = score(doc=4222,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4222, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4222)
0.02000671 = weight(_text_:23 in 4222) [ClassicSimilarity], result of:
0.02000671 = score(doc=4222,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4222, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4222)
0.02000671 = weight(_text_:23 in 4222) [ClassicSimilarity], result of:
0.02000671 = score(doc=4222,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.27719048 = fieldWeight in 4222, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0546875 = fieldNorm(doc=4222)
0.15 = coord(3/20)
- Date
- 23. 1.2011 14:19:08
-
Jacso, P.: Testing the calculation of a realistic h-index in Google Scholar, Scopus, and Web of Science for F. W. Lancaster (2008)
0.01
0.007878931 = product of:
0.052526206 = sum of:
0.017508736 = weight(_text_:software in 5586) [ClassicSimilarity], result of:
0.017508736 = score(doc=5586,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 5586, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=5586)
0.017508736 = weight(_text_:software in 5586) [ClassicSimilarity], result of:
0.017508736 = score(doc=5586,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 5586, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=5586)
0.017508736 = weight(_text_:software in 5586) [ClassicSimilarity], result of:
0.017508736 = score(doc=5586,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.21915624 = fieldWeight in 5586, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=5586)
0.15 = coord(3/20)
- Abstract
- This paper focuses on the practical limitations in the content and software of the databases that are used to calculate the h-index for assessing the publishing productivity and impact of researchers. To celebrate F. W. Lancaster's biological age of seventy-five, and "scientific age" of forty-five, this paper discusses the related features of Google Scholar, Scopus, and Web of Science (WoS), and demonstrates in the latter how a much more realistic and fair h-index can be computed for F. W. Lancaster than the one produced automatically. Browsing and searching the cited reference index of the 1945-2007 edition of WoS, which in my estimate has over a hundred million "orphan references" that have no counterpart master records to be attached to, and "stray references" that cite papers which do have master records but cannot be identified by the matching algorithm because of errors of omission and commission in the references of the citing works, can bring up hundreds of additional cited references given to works of an accomplished author but are ignored in the automatic process of calculating the h-index. The partially manual process doubled the h-index value for F. W. Lancaster from 13 to 26, which is a much more realistic value for an information scientist and professor of his stature.
-
Nie, J.-Y.: Query expansion and query translation as logical inference (2003)
0.01
0.007716874 = product of:
0.051445827 = sum of:
0.017148608 = weight(_text_:23 in 1425) [ClassicSimilarity], result of:
0.017148608 = score(doc=1425,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.23759183 = fieldWeight in 1425, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.017148608 = weight(_text_:23 in 1425) [ClassicSimilarity], result of:
0.017148608 = score(doc=1425,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.23759183 = fieldWeight in 1425, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.017148608 = weight(_text_:23 in 1425) [ClassicSimilarity], result of:
0.017148608 = score(doc=1425,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.23759183 = fieldWeight in 1425, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.046875 = fieldNorm(doc=1425)
0.15 = coord(3/20)
- Date
- 23. 3.2003 8:33:49
-
Picard, J.; Savoy, J.: Enhancing retrieval with hyperlinks : a general model based on propositional argumentation systems (2003)
0.01
0.006430729 = product of:
0.042871524 = sum of:
0.014290508 = weight(_text_:23 in 1427) [ClassicSimilarity], result of:
0.014290508 = score(doc=1427,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 1427, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=1427)
0.014290508 = weight(_text_:23 in 1427) [ClassicSimilarity], result of:
0.014290508 = score(doc=1427,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 1427, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=1427)
0.014290508 = weight(_text_:23 in 1427) [ClassicSimilarity], result of:
0.014290508 = score(doc=1427,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 1427, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=1427)
0.15 = coord(3/20)
- Date
- 23. 3.2003 8:36:41
-
Ruthven, T.; Lalmas, M.; Rijsbergen, K.van: Incorporating user research behavior into relevance feedback (2003)
0.01
0.006430729 = product of:
0.042871524 = sum of:
0.014290508 = weight(_text_:23 in 5169) [ClassicSimilarity], result of:
0.014290508 = score(doc=5169,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 5169, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=5169)
0.014290508 = weight(_text_:23 in 5169) [ClassicSimilarity], result of:
0.014290508 = score(doc=5169,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 5169, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=5169)
0.014290508 = weight(_text_:23 in 5169) [ClassicSimilarity], result of:
0.014290508 = score(doc=5169,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 5169, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=5169)
0.15 = coord(3/20)
- Date
- 8. 7.2006 14:47:23
-
Li, M.; Li, H.; Zhou, Z.-H.: Semi-supervised document retrieval (2009)
0.01
0.006430729 = product of:
0.042871524 = sum of:
0.014290508 = weight(_text_:23 in 4218) [ClassicSimilarity], result of:
0.014290508 = score(doc=4218,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 4218, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4218)
0.014290508 = weight(_text_:23 in 4218) [ClassicSimilarity], result of:
0.014290508 = score(doc=4218,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 4218, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4218)
0.014290508 = weight(_text_:23 in 4218) [ClassicSimilarity], result of:
0.014290508 = score(doc=4218,freq=2.0), product of:
0.07217676 = queryWeight, product of:
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.02013827 = queryNorm
0.1979932 = fieldWeight in 4218, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5840597 = idf(docFreq=3336, maxDocs=44218)
0.0390625 = fieldNorm(doc=4218)
0.15 = coord(3/20)
- Date
- 23. 1.2011 14:01:51
-
Austin, D.: How Google finds your needle in the Web's haystack : as we'll see, the trick is to ask the web itself to rank the importance of pages... (2006)
0.01
0.005515252 = product of:
0.036768343 = sum of:
0.012256115 = weight(_text_:software in 93) [ClassicSimilarity], result of:
0.012256115 = score(doc=93,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.15340936 = fieldWeight in 93, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02734375 = fieldNorm(doc=93)
0.012256115 = weight(_text_:software in 93) [ClassicSimilarity], result of:
0.012256115 = score(doc=93,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.15340936 = fieldWeight in 93, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02734375 = fieldNorm(doc=93)
0.012256115 = weight(_text_:software in 93) [ClassicSimilarity], result of:
0.012256115 = score(doc=93,freq=2.0), product of:
0.07989157 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02013827 = queryNorm
0.15340936 = fieldWeight in 93, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02734375 = fieldNorm(doc=93)
0.15 = coord(3/20)
- Abstract
- Imagine a library containing 25 billion documents but with no centralized organization and no librarians. In addition, anyone may add a document at any time without telling anyone. You may feel sure that one of the documents contained in the collection has a piece of information that is vitally important to you, and, being impatient like most of us, you'd like to find it in a matter of seconds. How would you go about doing it? Posed in this way, the problem seems impossible. Yet this description is not too different from the World Wide Web, a huge, highly-disorganized collection of documents in many different formats. Of course, we're all familiar with search engines (perhaps you found this article using one) so we know that there is a solution. This article will describe Google's PageRank algorithm and how it returns pages from the web's collection of 25 billion documents that match search criteria so well that "google" has become a widely used verb. Most search engines, including Google, continually run an army of computer programs that retrieve pages from the web, index the words in each document, and store this information in an efficient format. Each time a user asks for a web search using a search phrase, such as "search engine," the search engine determines all the pages on the web that contains the words in the search phrase. (Perhaps additional information such as the distance between the words "search" and "engine" will be noted as well.) Here is the problem: Google now claims to index 25 billion pages. Roughly 95% of the text in web pages is composed from a mere 10,000 words. This means that, for most searches, there will be a huge number of pages containing the words in the search phrase. What is needed is a means of ranking the importance of the pages that fit the search criteria so that the pages can be sorted with the most important pages at the top of the list. One way to determine the importance of pages is to use a human-generated ranking. For instance, you may have seen pages that consist mainly of a large number of links to other resources in a particular area of interest. Assuming the person maintaining this page is reliable, the pages referenced are likely to be useful. Of course, the list may quickly fall out of date, and the person maintaining the list may miss some important pages, either unintentionally or as a result of an unstated bias. Google's PageRank algorithm assesses the importance of web pages without human evaluation of the content. In fact, Google feels that the value of its service is largely in its ability to provide unbiased results to search queries; Google claims, "the heart of our software is PageRank." As we'll see, the trick is to ask the web itself to rank the importance of pages.
-
Weller, K.; Stock, W.G.: Transitive meronymy : automatic concept-based query expansion using weighted transitive part-whole relations (2008)
0.00
0.0026362767 = product of:
0.026362766 = sum of:
0.010819908 = weight(_text_:und in 1835) [ClassicSimilarity], result of:
0.010819908 = score(doc=1835,freq=4.0), product of:
0.044633795 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.02013827 = queryNorm
0.24241515 = fieldWeight in 1835, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.0546875 = fieldNorm(doc=1835)
0.015542857 = weight(_text_:der in 1835) [ClassicSimilarity], result of:
0.015542857 = score(doc=1835,freq=8.0), product of:
0.044984195 = queryWeight, product of:
2.2337668 = idf(docFreq=12875, maxDocs=44218)
0.02013827 = queryNorm
0.34551817 = fieldWeight in 1835, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
2.2337668 = idf(docFreq=12875, maxDocs=44218)
0.0546875 = fieldNorm(doc=1835)
0.1 = coord(2/20)
- Abstract
- Transitive Meronymie. Automatische begriffsbasierte Suchanfrageerweiterung unter Nutzung gewichteter transitiver Teil-Ganzes-Relationen. Unsere theoretisch orientierte Arbeit isoliert transitive Teil-Ganzes-Beziehungen. Wir diskutieren den Einsatz der Meronymie bei der automatischen begriffsbasierten Suchanfrageerweiterung im Information Retrieval. Aus praktischen Gründen schlagen wir vor, die Bestandsrelationen zu spezifizieren und die einzelnen Arten mit unterschiedlichen Gewichtungswerten zu versehen, die im Retrieval genutzt werden. Für das Design von Wissensordnungen ist bedeutsam, dass innerhalb der Begriffsleiter einer Abstraktionsrelation ein Begriff alle seine Teile (sowie alle transitiven Teile der Teile) an seine Unterbegriffe vererbt.
- Source
- Information - Wissenschaft und Praxis. 59(2008) H.3, S.165-170
-
Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003)
0.00
9.636286E-4 = product of:
0.019272571 = sum of:
0.019272571 = product of:
0.038545143 = sum of:
0.038545143 = weight(_text_:29 in 4690) [ClassicSimilarity], result of:
0.038545143 = score(doc=4690,freq=2.0), product of:
0.070840135 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.02013827 = queryNorm
0.5441145 = fieldWeight in 4690, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.109375 = fieldNorm(doc=4690)
0.5 = coord(1/2)
0.05 = coord(1/20)
- Source
- Journal of information science. 29(2003) no.2, S.87-96
-
Okada, M.; Ando, K.; Lee, S.S.; Hayashi, Y.; Aoe, J.I.: ¬An efficient substring search method by using delayed keyword extraction (2001)
0.00
8.2596735E-4 = product of:
0.016519347 = sum of:
0.016519347 = product of:
0.033038694 = sum of:
0.033038694 = weight(_text_:29 in 6415) [ClassicSimilarity], result of:
0.033038694 = score(doc=6415,freq=2.0), product of:
0.070840135 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.02013827 = queryNorm
0.46638384 = fieldWeight in 6415, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=6415)
0.5 = coord(1/2)
0.05 = coord(1/20)
- Date
- 29. 3.2002 17:24:03
-
Notess, G.R.: Search engine relevance : the never-ending quest (2000)
0.00
7.771429E-4 = product of:
0.015542857 = sum of:
0.015542857 = weight(_text_:der in 4797) [ClassicSimilarity], result of:
0.015542857 = score(doc=4797,freq=2.0), product of:
0.044984195 = queryWeight, product of:
2.2337668 = idf(docFreq=12875, maxDocs=44218)
0.02013827 = queryNorm
0.34551817 = fieldWeight in 4797, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.2337668 = idf(docFreq=12875, maxDocs=44218)
0.109375 = fieldNorm(doc=4797)
0.05 = coord(1/20)
- Abstract
- Bericht über verschiedene Relevanzverfahren der Suchdienste des Internet
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
0.00
6.366401E-4 = product of:
0.012732802 = sum of:
0.012732802 = product of:
0.038198404 = sum of:
0.038198404 = weight(_text_:22 in 3445) [ClassicSimilarity], result of:
0.038198404 = score(doc=3445,freq=2.0), product of:
0.07052079 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02013827 = 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)
0.33333334 = coord(1/3)
0.05 = coord(1/20)
- Date
- 25. 8.2005 17:42:22
