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Recommender Systems Handbook (Record no. 20931)

000 -LEADER
fixed length control field 05139nam a22005415i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151109.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101029s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387858203
978-0-387-85820-3
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2011.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ricci, Francesco.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Recommender Systems Handbook
Medium [electronic resource] /
Statement of responsibility, etc edited by Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor.
250 ## - EDITION STATEMENT
Edition statement 1.
300 ## - PHYSICAL DESCRIPTION
Extent XXIX, 842p. 20 illus.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Recommender Systems Handbook -- Part I Basic Techniques -- Data Mining Methods for Recommender Systems -- Content-based Recommender Systems: State of the Art and Trends -- A Comprehensive Survey of Neighborhood-based Recommendation Methods -- Advances in Collaborative Filtering -- Developing Constraint-based Recommenders -- Context-Aware Recommender Systems -- Part II Applications and Evaluation of RSs -- Evaluating Recommendation Systems -- A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment -- How to Get the Recommender Out of the Lab? -- Matching Recommendation Technologies and Domains -- Recommender Systems in Technology Enhanced Learning -- Part III Interacting with Recommender Systems -- On the Evolution of Critiquing Recommenders -- Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations -- Designing and Evaluating Explanations for Recommender Systems -- Usability Guidelines for Product Recommenders Based on Example Critiquing Research -- Map Based Visualization of Product Catalogs -- Part IV Recommender Systems and Communities -- Communities, Collaboration, and Recommender Systems in Personalized Web Search -- Social Tagging Recommender Systems -- Trust and Recommendations -- Group Recommender Systems: Combining Individual Models -- Aggregation of Preferences in Recommender Systems -- Active Learning in Recommender Systems -- Multi-Criteria Recommender Systems -- Robust Collaborative Recommendation -- 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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
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 Information storage and retrieval systems.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Information Storage and Retrieval.
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
Topical term or geographic name as entry element e-Commerce/e-business.
Topical term or geographic name as entry element User Interfaces and Human Computer Interaction.
Topical term or geographic name as entry element Database Management.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rokach, Lior.
Relator term editor.
Personal name Shapira, Bracha.
Relator term editor.
Personal name Kantor, Paul B.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780387858197
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-387-85820-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.3

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