NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 161 results Save | Export
Peer reviewed Peer reviewed
Robertson, S. E. – Journal of Documentation, 1977
The principle that, for optimal retrieval, documents should be ranked in order of the probability of relevance is discussed. (Author/KP)
Descriptors: Information Retrieval, Probability, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Sparck Jones, Karen – Journal of Documentation, 1975
It would be very helpful in retrieval experiments if good retrieval performance for a test collection was known, so that performance for particular devices could be fully evaluated. This paper presents one performance yardstick, based on optimally weighted request terms, and illustrates its application to different test collections. (Author)
Descriptors: Information Retrieval, Relevance (Information Retrieval), Research Design
Peer reviewed Peer reviewed
Yates-Mercer, Penelope A. – Journal of Documentation, 1976
Farradane's relational indexing appeared applicable to the scientific area of the properties of metals and gave good results with a greater depth of indexing. (Author/PF)
Descriptors: Databases, Indexing, Information Retrieval, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Sormunen, Eero; Kekalainen, Jaana; Koivisto, Jussi; Jarvelin, Kalervo – Journal of Documentation, 2001
Presents a new concept-based method to analyze the text characteristics of documents at varying relevance levels. Applies the results of the document analysis in an experiment on query expansion in a probabilistic information retrieval system and investigates statistical differences in textual characteristics of highly relevant and less relevant…
Descriptors: Information Retrieval, Relevance (Information Retrieval), Statistical Analysis
Peer reviewed Peer reviewed
Robertson, S. E. – Journal of Documentation, 1974
Poses questions concerning methods of using specificity information in a weighting scheme. (JB)
Descriptors: Documentation, Information Retrieval, Mathematical Models, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Barker, F. H. – Journal of Documentation, 1972
The work described was designed to test the feasibility of using automatic or semi-automatic methods to replace or reduce the intellectual effort involved in retrieving information from machine readable stores, particularly those using natural language. (Author)
Descriptors: Automation, Information Retrieval, Relevance (Information Retrieval), Search Strategies
Peer reviewed Peer reviewed
Farradane, J. – Journal of Documentation, 1974
Methods of testing systems in practice and in theory are critically reviewed. Some new theoretical considerations are advanced. (Author)
Descriptors: Evaluation Methods, Information Retrieval, Measurement Techniques, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Robertson, S. E.; Belkin, N. J. – Journal of Documentation, 1978
Explores the possibility of combining the two principles of ranking according to degree of relevance, and ranking according to probability of relevance, for information retrieval systems, but concludes that, while neither is adequate alone, no single, all-embracing ranking principle can be constructed to replace the two. (Author/VT)
Descriptors: Information Retrieval, Information Systems, Relevance (Information Retrieval), Search Strategies
Peer reviewed Peer reviewed
Cleverdon, Cyril W. – Journal of Documentation, 1972
The inverse relationship of recall and precision is not a fundamental law. It must not be used as an excuse for failing to bring about any overall improvement in the performance of information retrieval systems (12 references) (Author/NH)
Descriptors: Information Retrieval, Information Systems, Relevance (Information Retrieval), Search Strategies
Peer reviewed Peer reviewed
Jones, Karen Sparck – Journal of Documentation, 1979
The present experiments were designed to study the effects of search term weighting based on very limited relevance information, supplied, for example, by one or two relevant documents. The tests simulated iterative searching as in an on-line system and show that even very little relevance information can be extremely valuable. A list of…
Descriptors: Experiments, Graphs, Information Retrieval, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Bookstein, Abraham – Journal of Documentation, 1974
A model for an information retrieval system in which recall and precision are inversely related is described, and then the anomaly is resolved. (PF)
Descriptors: Information Retrieval, Mathematical Models, Models, Recall (Psychology)
Peer reviewed Peer reviewed
Cleverdon, C. W.; Kidd, J. S. – Journal of Documentation, 1976
A test was carried out to investigate the assumption that there is a significant level of redundancy between documents. The conclusions were that notional overlap exists, but there appear to be very few cases of extreme redundancy, and at the document level, there is little possibility of practical application. (Author)
Descriptors: Databases, Indexing, Information Retrieval, Information Systems
Peer reviewed Peer reviewed
Farradane, J.; Yates-Mercer, Penelope A. – Journal of Documentation, 1973
Some of the factors that must inevitably affect the assessment of printed indexes are discussed, together with the observation of two unexpected phenomena, namely an apparent relationship between precision and searching effort, and relationships between generality and both recall and fallout. (4 references) (Author)
Descriptors: Abstracts, Indexes, Indexing, Information Retrieval
Peer reviewed Peer reviewed
And Others; Barker, F. H. – Journal of Documentation, 1972
An investigation was made into the relative performance of the four major Chemical Abstracts Service magnetic tape data-bases. The overall retrieval efficiency of profiles searched against data-bases containing titles only, titles-plus-keywords, and titles-plus-digests, was calculated and these results are presented. (5 references) (Author/NH)
Descriptors: Comparative Analysis, Databases, Information Retrieval, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Shepherd, Michael A. – Journal of Documentation, 1981
Reports the results of experiments using colon classification for the analysis, representation, and retrieval of primary information from the full text of documents. Recall, precision, and search length measures indicate colon classification did not perform significantly better than Boolean or simple word occurrence systems. Thirteen references…
Descriptors: Classification, Databases, Indexing, Information Retrieval
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11