Recommender systems handbook (Record no. 29608)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190910b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781489977809
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.33
Item number RIC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ricci, Francesco
245 ## - TITLE STATEMENT
Title Recommender systems handbook
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2015
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 1003 p.
Other physical details ill.
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 164.99
Price type code EUR
Unit of pricing 15260.17
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems' major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT &​ T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Expert Systems
Topical term or geographic name as entry element Informatique
Topical term or geographic name as entry element Recommender systems
Topical term or geographic name as entry element Information filtering
Topical term or geographic name as entry element Electronic books
Topical term or geographic name as entry element Electronic commerce
Topical term or geographic name as entry element User interfaces
Topical term or geographic name as entry element Computer systems
Topical term or geographic name as entry element Information storage and retrieval
Topical term or geographic name as entry element Database management
Topical term or geographic name as entry element Data mining
Topical term or geographic name as entry element Artificial intelligence
Topical term or geographic name as entry element Data Mining and Knowledge Discovery
Topical term or geographic name as entry element User Interfaces and Human Computer Interaction
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Rokach, Lior
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2019-09-05 4 3 006.33 RIC 032059 2024-06-13 2024-01-05 Books

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