Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze· ISBN 9780521865715
Special offer terms
Zookal Study Premium
Subscribe & save
By selecting the 'Susbcribe & Save' option you are enrolling in an auto-renewing subscription of Zookal Study Premium. Cancel at anytime.
Auto-Renewal
Your Zookal Study Premium subscription will be renewed each month until you cancel. You consent to Zookal automatically charging your payment method on file $19.99 each month after 1st month free period until you cancel.
How to Cancel
You can cancel your subscription anytime by visiting Manage account page, clicking "Manage subscription" and completing the steps to cancel. Cancellations take effect at the end of the 1st month free period (if applicable) or at the end of the current billing cycle in which your request to cancel was received. Subscription fees are not refundable.
Zookal Study Premium Monthly Subscription Includes:
Ability to post up to ten (10) questions per month.
20% off your textbooks order and free standard shipping whenever you shop online at
textbooks.zookal.com.au
Unused monthly subscription benefits have no cash value, are not transferable, and expire at the end of each month. This means that subscription benefits do not roll over to or accumulate for use in subsequent months.
Payment Methods
Afterpay and Zip Pay will not be available for purchases with Zookal Study Premium subscription added to bag.
$1.00 preauthorisation
You may see a $1.00 preauthorisation by your bank which will disappear from your statement in a few business days..
Email communications
By adding Zookal Study Premium, you agree to receive email communications from Zookal.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.