Information Retrieval: Algorithms and Heuristics: 15 (The Information Retrieval Series) - Tapa dura

Críticas

From the reviews of the second edition: "This is a book that has great breadth and depth a ] . If you are a computer science student a ] this is an excellent textbook. It has comprehensive coverage of different approaches a ] . Headings are relevant to the content and the language used is clear and concise. This makes it a good reference to look up a ] . For those of you directly involved in the exploration of different approaches to algorithmic search a ] this book would be invaluable." (Melanie Kendell, Informer, Issue 17, Winter 2005/2006)

Reseña del editor

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.