000 -LEADER |
fixed length control field |
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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 |