-
Cole, C.: Intelligent information retrieval: diagnosing information need : Part I: the theoretical framework for developing an intelligent IR tool (1998)
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- Information processing and management. 34(1998) no.6, S.709-720
-
Cole, C.: Intelligent information retrieval: diagnosing information need : Part II: uncertainty expansion in a prototype of a diagnostic IR tool (1998)
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- Information processing and management. 34(1998) no.6, S.721-731
-
Baeza-Yates, R.A.: Introduction to data structures and algorithms related to information retrieval (1992)
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- Abstract
- In this chapter we review the main concepts and data structures used in information retrieval, and we classify information retrieval related algorithms
- Source
- Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
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Lee, J.H.: Combining the evidence of different relevance feedback methods for information retrieval (1998)
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- Information processing and management. 34(1998) no.6, S.681-691
-
Hofferer, M.: Heuristic search in information retrieval (1994)
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- Abstract
- Describes an adaptive information retrieval system: Information Retrieval Algorithm System (IRAS); that uses heuristic searching to sample a document space and retrieve relevant documents according to users' requests; and also a learning module based on a knowledge representation system and an approximate probabilistic characterization of relevant documents; to reproduce a user classification of relevant documents and to provide a rule controlled ranking
- Source
- Information retrieval: new systems and current research. Proceedings of the 15th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Glasgow 1993. Ed.: Ruben Leon
-
Loughran, H.: ¬A review of nearest neighbour information retrieval (1994)
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- Abstract
- Explains the concept of 'nearest neighbour' searching, also known as best match or ranked output, which it is claimed can overcome many of the inadequacies of traditional Boolean methods. Also points to some of the limitations. Identifies a number of commercial information retrieval systems which feature this search technique
- Source
- Information management report. 1994, August, S.11-14
-
Frants, V.I.; Shapiro, J.: Control and feedback in a documentary information retrieval system (1991)
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- Abstract
- Addresses the problem of control in documentary information retrieval systems is analysed and it is shown why an IR system has to be looked at as an adaptive system. The algorithms of feedback are proposed and it is shown how they depend on the type of the collection of documents: static (no change in the collection between searches) and dynamic (when the change occurs between searches). The proposed algorithms are the basis for the development of the fully automated information retrieval systems
- Source
- Journal of the American Society for Information Science. 42(1991) no.9, S.623-634
-
Reddaway, S.: High speed text retrieval from large databases on a massively parallel processor (1991)
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- Source
- Information processing and management. 27(1991), S.311-316
-
Davis, C.H.: Beyond Boole : the next logical step (1995)
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- Source
- Bulletin of the American Society for Information Science. 21(1995), S.17-20
-
Rajashekar, T.B.; Croft, W.B.: Combining automatic and manual index representations in probabilistic retrieval (1995)
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- Abstract
- Results from research in information retrieval have suggested that significant improvements in retrieval effectiveness can be obtained by combining results from multiple index representioms, query formulations, and search strategies. The inference net model of retrieval, which was designed from this point of view, treats information retrieval as an evidental reasoning process where multiple sources of evidence about document and query content are combined to estimate relevance probabilities. Uses a system based on this model to study the retrieval effectiveness benefits of combining these types of document and query information that are found in typical commercial databases and information services. The results indicate that substantial real benefits are possible
- Source
- Journal of the American Society for Information Science. 46(1995) no.4, S.272-283
-
Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999)
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- Abstract
- This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
- RSWK
- Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
- Subject
- Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
-
Ciocca, G.; Schettini, R.: ¬A relevance feedback mechanism for content-based image retrieval (1999)
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- Source
- Information processing and management. 35(1999) no.5, S.605-632
-
Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998)
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- 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
-
Wollf, J.G.: ¬A scalable technique for best-match retrieval of sequential information using metrics-guided search (1994)
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- Abstract
- Describes a new technique for retrieving information by finding the best match or matches between a textual query and a textual database. The technique uses principles of beam search with a measure of probability to guide the search and prune the search tree. Unlike many methods for comparing strings, the method gives a set of alternative matches, graded by the quality of the matching. The new technique is embodies in a software simulation SP21 which runs on a conventional computer. Presnts examples showing best-match retrieval of information from a textual database. Presents analytic and emprirical evidence on the performance of the technique. It lends itself well to parallel processing. Discusses planned developments
- Source
- Journal of information science. 20(1994) no.1, S.16-28
-
Koyama, M.: ¬A fast retrieving algorithm of hierarchical relationships using tree structures (1998)
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- Source
- Information processing and management. 34(1998) no.6, S.761-763
-
Wong, S.K.M.: On modelling information retrieval with probabilistic inference (1995)
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- Abstract
- Examines and extends the logical models of information retrieval in the context of probability theory and extends the applications of these fundamental ideas to term weighting and relevance. Develops a unified framework for modelling the retrieval process with probabilistic inference to provide a common conceptual and mathematical basis for many retrieval models, such as Boolean, fuzzy sets, vector space, and conventional probabilistic models. Employs this framework to identify the underlying assumptions by each model and analyzes the inherent relationships between them. Although the treatment is primarily theoretical, practical methods for rstimating the required probabilities are provided by simple examples
- Source
- ACM transactions on information systems. 13(1995) no.1, S.38-68
-
Robertson, A.M.; Willett, P.: Use of genetic algorithms in information retrieval (1995)
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- Abstract
- Reviews the basic techniques involving genetic algorithms and their application to 2 problems in information retrieval: the generation of equifrequent groups of index terms; and the identification of optimal query and term weights. The algorithm developed for the generation of equifrequent groupings proved to be effective in operation, achieving results comparable with those obtained using a good deterministic algorithm. The algorithm developed for the identification of optimal query and term weighting involves fitness function that is based on full relevance information
-
Nakkouzi, Z.S.; Eastman, C.M.: Query formulation for handling negation in information retrieval systems (1990)
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- Abstract
- Queries containing negation are widely recognised as presenting problems for both users and systems. In information retrieval systems such problems usually manifest themselves in the use of the NOT operator. Describes an algorithm to transform Boolean queries with negated terms into queries without negation; the transformation process is based on the use of a hierarchical thesaurus. Examines a set of user requests submitted to the Thomas Cooper Library at the University of South Carolina to determine the pattern and frequency of use of negation.
- Source
- Journal of the American Society for Information Science. 41(1990) no.3, S.171-182
-
Spink, A.; Losee, R.M.: Feedback in information retrieval (1996)
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- Abstract
- State of the art review of the mechanisms of feedback in information retrieval (IR) in terms of feedback concepts and models in cybernetics and social sciences. Critically evaluates feedback research based on the traditional IR models and comparing the different approaches to automatic relevance feedback techniques, and feedback research within the framework of interactive IR models. Calls for an extension of the concept of feedback beyond relevance feedback to interactive feedback. Cites specific examples of feedback models used within IR research and presents 6 challenges to future research
- Source
- Annual review of information science and technology. 31(1996), S.33-78
-
Longshu, L.; Xia, Z.: On an aproximate fuzzy information retrieval agent (1998)
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- Abstract
- Discusses online approximate information retrieval based on fuzzy mathematics. Defines fuzzy semantics. Presents an approximate fuzzy matching algorithm and an algorithm for a fuzzy word indexing agent for approximate retrieval. Also presents a case study demonstrating approximate fuzzy matching
- Source
- Journal of the China Society for Scientific and Technical Information. 17(1998) no.3, S.180-184
