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文档介绍:Information Retrieval Architecture and Algorithms
Gerald Kowalski
Information Retrieval
Architecture and Algorithms
1  3
Gerald Kowalski
Ashburn, VA, USA
ISBN 978-1-4419-7715-1  â e-ISBN 978-1-4419-7716-8
DOI -1-4419-7716-8
Springer New York Dordrecht Heidelberg London
© Springer Science+Business Media, LLC 2011
All rights reserved. This work may not be translated or copied in whole or in part without the written
permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY
10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connec-
tion with any form of information storage and retrieval, electronic adaptation, computer software, or by
similar or dissimilar methodology now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are
not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject
to proprietary rights.
Printed on acid-free paper
Springer is part of Springer Science+Business Media ()
This book is dedicated to my grandchildren,
Adeline, , Mollie Kate and Riley who
are the future
Jerry Kowalski
Preface
Information Retrieval has radically changed over the last 25Âyears. When I first
started teaching Information Retrieval and developing large Information Retrieval
systems in the 1980s it was easy to cover the area in a single semester course. Most
of the discussion was theoretical with testing done on small databases and only
a small subset of the theory was able to be implemented mercial systems.
There were not massive amounts of data in the right digital format for search. Since
2000, the field of Information retrieval has undergone a major transformation driv-
en by massive amounts of new data (., , Facebook, etc.) that needs to be
searched, new hardware technologies that m

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