Recommender Systems for Information Providers: Designing Customer Centric Paths to Information by Andreas W. NeumannRecommender Systems for Information Providers: Designing Customer Centric Paths to Information by Andreas W. Neumann

Recommender Systems for Information Providers: Designing Customer Centric Paths to Information

byAndreas W. Neumann

Paperback | October 21, 2010

Pricing and Purchase Info

$204.18 online 
$219.95 list price save 7%
Earn 1,021 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform.
Title:Recommender Systems for Information Providers: Designing Customer Centric Paths to InformationFormat:PaperbackDimensions:168 pagesPublished:October 21, 2010Publisher:Physica-Verlag HDLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3790825786

ISBN - 13:9783790825787

Reviews

Table of Contents

Introduction.- The Market of Scientific and Technical Information.- Classification and Mechanism Design of Recommender Systems.- A Survey of Recommender Systems at Major STI Providers.- Case Study: Explicit Recommender Services for Scientific Libraries.- General Concepts of Behavior-Based Recommender Services.- Algorithms for Behavior-Based Recommender Systems.- Case Study: Behavior-Based Recommender Services for Scientific Libraries.- Visualizing and Exploring Information Spaces. Discussion.