Interested in how an efficient search engine works? Want to know
what algorithms are used to rank resulting documents in response to
user requests? The authors answer these and other key information
retrieval design and implementation questions.
This book is not yet another high level text. Instead,
algorithms are thoroughly described, making this book ideally
suited for both computer science students and practitioners who
work on search-related applications. As stated in the foreword,
this book provides a current, broad, and detailed overview of the
field and is the only one that does so. Examples are used
throughout to illustrate the algorithms.
The authors explain how a query is ranked against a document
collection using either a single or a combination of retrieval
strategies, and how an assortment of utilities are integrated into
the query processing scheme to improve these rankings. Methods for
building and compressing text indexes, querying and retrieving
documents in multiple languages, and using parallel or distributed
processing to expedite the search are likewise described.
This edition is a major expansion of the one published in 1998.
Besides updating the entire book with current techniques, it
includes new sections on language models, cross-language
information retrieval, peer-to-peer processing, XML search,
mediators, and duplicate document detection.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!