information retrieval model
Study of E learning Information Retrieval Model based on Ontology
... E-LEARNING INFORMATION RETRIEVAL MODEL BASED ON ONTOLOGY This system is composed of 4 modules: ontology Management module, resource collection module, semantic procession module and retr[r] ...
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Research on information retrieval model based on ontology
... users’ retrieval needs and optimize the performance of information retrieval, do- main ontology is introduced into the information re- trieval ...the information retrieval ...
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An Information Retrieval Model Based On Word Concept
... for information retrieval from texts depend on the term ...space model using auto-threshold detection is proposed to process the concepts, and a cluster searching model is also ...the ...
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Knowledge Reduction Information Retrieval Model in Pathology Medical Domain
... The third relationship of SNOMED terms is a multi-axial relation shown in Figure 6, which refers to the ability of the ordered set of names to express the meaning of a concept across several axes. We can find examples of ...
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Information Retrieval using Dempster Shafer Theory
... Information retrieval model using Dempster-Shafer theory also known as evidence theory is used in this ...this model, each query-document pair is taken as a piece of evidence for the relevance ...
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Information Retrieval System By Using Vector Space Model
... as Information explosion mass production of information ...of information explosion is finding document relevant to information need ...of information explosion. MEMEX is ―a ...
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A method based on sequential access patterns for information retrieval
... Subsequently, two methods have been developed for guiding the web recommendations are hybrid content-based collaborative filtering [7] and collaborative filtering [8] techniques. As more users are browsing the websites ...
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Performance evaluation of ontology based Info...
... A number of studies have been conducted to measure the performance of the system. Some criteria of evaluation have been proposed by several researchers in the area of the evaluation of information retrieval ...
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Generalized Ensemble Model for Document Ranking in Information Retrieval
... As discussed in Section 4, the proposed algorithms would benefit from different initial weights. Choosing the proper initial points for nonlinear program is an open research is- sue. In our tests, we utilized the ...
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Quantum Model for Information Retrieval in Web 2.0
... resulting information transformation from inside to outside can be ...transcribing information of Web ...overload information (Gottesman & Preskill, ...
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A model for structured document retrieval : empirical investigations
... its information content is defined by the aggregation of its ...The model does not place any restrictions on the location of relevant components within a document; that is, the relevance of a document ...
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Visual Saliency Detection and its Application to Image Retrieval
... Assessment of image retrieval results diversity is an unsolved problem yet. Recently several ways of measuring diversity have been proposed. However, they mostly tackle only the concept aspect of diversity by ...
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A Context-Adaptive Ranking Model for Effective Information Retrieval System
... In this section, we present the results that show the performance of our DROPT technique against a traditional tf-idf method. We compared our ranking algorithms with selected well-known baseline algorithms such as TF-IDF ...
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On Multi Class Vector Space Model based Information Retrieval
... As the earliest and also the most famous mathematics model in information search, its basic thought mean the text to adding authority characteristic vector: D=D T ,W ;T ,W ; ;T ,W Then i[r] ...
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Information retrieval
... TABLE OF CONTENTS ILLUSTRATIONS 2 ACKNOWLEDGEMENTS 3 INTRODUCTION 4 BACKGROUND 5 FROM THE STTLLTFE TO THE NARRATIVE 7 PHILIP GUSTON 8 WOODSMEN CHOP TREES 9 FROM 10 THE TREES TO LOGS 11 M[r] ...
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Comparative Analysis of indexing techniques for Oracle 11g, Lucene and Terrier
... Terrier is abbreviation of Terabyte Retriever and it’s having state of art technique. Terrier is built by Researchers of Glasgow University, U.K. [3]. It’s an open source library which comes with Mozilla Public License ...
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Attribute-enhanced metric learning for face retrieval
... for retrieval applications. As in most media retrieval tasks, the similarity measure is an essential step in face ...semantic information such as attribute ...the retrieval set of media ...
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Information Retrieval Data Structures And Algorithms FRAKES WB (2004) pdf
... most valuable for retrieval. Many kinds of relationships are expressed in a manual thesaurus. These are semantic in nature and reflect the underlying conceptual interactions between terms. We do not provide an ...
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Information Retrieval: A Survey - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... Two main strategies have been used for clustering. Both require a document-to-document similar- ity measure. The first strategy requires that the complete collection of documents to be clustered be available at the start ...
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