[PDF.69du] Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information (The Information Retrieval Series)

Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information (The Information Retrieval Series)

[PDF.tf08] Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information (The Information Retrieval Series)

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 | #8203004 in Books |  Springer |  1998-10-31 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.55 | File type: PDF | 323 pages

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||0 of 0 people found the following review helpful.| A complete reference|By A Customer|I think this is the most complete account of research into the design and implementation of logic based IR systems. Basicaly, everybody who is somebody in logical-probabilistic IR has a paper in this book. I think the editors did a very good job.

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the ...

You can specify the type of files you want, for your gadget.Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information (The Information Retrieval Series)   |  From Brand: Springer. Just read it with an open mind because none of us really know.

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