000 -LEADER |
fixed length control field |
02676nam a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
CITU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230214112147.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr an aaaaaaaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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210823b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780511763113 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng. |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.33 |
245 ## - TITLE STATEMENT |
Title |
Recommender systems : |
Remainder of title |
an introduction / |
Statement of responsibility, etc |
Dietmar Jannach [and others]. |
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge: |
Name of publisher, distributor, etc |
Cambridge University Press, |
Date of publication, distribution, etc |
c2012 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (xv, 335 pages) : |
336 ## - CONTENT TYPE |
Source |
rdacontent |
Content type term |
text |
Content type code |
text |
337 ## - MEDIA TYPE |
Source |
rdamedia |
Media type term |
computer |
Media type code |
c |
338 ## - CARRIER TYPE |
Source |
rdacarrier |
Carrier type term |
online resource |
Carrier type code |
cr |
505 ## - CONTENTS |
Formatted contents note |
1. Introduction; Part I. Introduction into Basic Concepts: 2. Collaborative recommendation; 3. Content-based recommendation; 4. Knowledge-based recommendation; 5. Hybrid recommendation approaches; 6. Explanations in recommender systems; 7. Evaluating recommender systems; 8. Case study - personalized game recommendations on the mobile Internet; Part II. Recent Developments: 9. Attacks on collaborative recommender systems; 10. Online consumer decision making; 11. Recommender systems and the next-generation Web; 12. Recommendations in ubiquitous environments; 13. Summary and outlook. |
520 ## - SUMMARY, ETC. |
Summary, etc |
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Personal communication service systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Recommender systems (Information filtering). |
655 #0 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Jannach, Dietmar. |
Dates associated with a name |
1973- |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Link text |
Full text available at Cambridge Online Library Click here to view |
Uniform Resource Identifier |
https://www.cambridge.org/core/books/recommender-systems/C6471B59388D8A9F684C49C198691B53 |
942 ## - ADDED ENTRY ELEMENTS |
Source of classification or shelving scheme |
|
Item type |
EBOOK |