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The Probabilistic Relevance Framework

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Synopses & Reviews

Publisher Comments:

The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970-80s, which led to the development of one of the most successful text-retrieval algorithms, BM25. In recent years, research in the PRF has yielded new retrieval models capable of taking into account structure and link-graph information. Again, this has led to one of the most successful web-search and corporate-search algorithms, BM25F. The Probabilistic Relevance Framework: BM25 and Beyond presents the PRF from a conceptual point of view, describing the probabilistic modelling assumptions behind the framework and the different ranking algorithms that result from its application: the binary independence model, relevance feedback models, BM25, BM25F. Besides presenting a full derivation of the PRF ranking algorithms, it provides many insights about document retrieval in general, and points to many open challenges in this area. It also discusses the relation between the PRF and other statistical models for IR, and covers some related topics, such as the use of non-textual features, and parameter optimization for models with free parameters. The Probabilistic Relevance Framework: BM25 and Beyond is self-contained and accessible to anyone with basic knowledge of probability and inference.

Product Details

ISBN:
9781601983084
Author:
Robertson, Stephen
Publisher:
Now Publishers
Author:
Zaragoza, Hugo
Subject:
Computer Science
Subject:
Document Management
Subject:
Machine Theory
Subject:
Personal Computers-General
Publication Date:
20091231
Binding:
TRADE PAPER
Language:
English
Pages:
70
Dimensions:
6.14x9.21x.14 in. .24 lbs.

Related Subjects

Computers and Internet » Computers Reference » Document Management
Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Marketing
Computers and Internet » Personal Computers » General

The Probabilistic Relevance Framework New Trade Paper
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Product details 70 pages Now Publishers, - English 9781601983084 Reviews:
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