A Retriever Independent Framework for Relevance Feedback


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  • Product Description

This work proposes a novel, classificatory analysis based relevance feedback framework based on a user-centric model of information need that is independent of any particular retrieval paradigm. The model of the user need is based on the principle that a complete representation of the user need is contained in an exhaustive user classification of the collection. This model provides a conceptually appealing basis for relevance feedback; each successive iteration of relevance feedback can be treated as a classification that becomes a closer approximation of the user''s information need. The system iteratively achieves a better understanding of the user''s information need, gradually converging to a satisfactory set of results. The framework is based on Rough Set Theory, which is explicitly designed to deal with classificatory analysis incorporating uncertainty and approximation.

Product Specifications
SKU :COC21263
AuthorSamar Zutshi
Number of Pages252
Publishing Year2010-09-02T00:00:00.000
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandVDM Verlag Dr. Müller
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-28 00:00:00
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