Neumann Recommender Systems for Information Providers

Designing Customer Centric Paths to Information
1. Auflage 2009
ISBN: 978-3-7908-2134-5
Verlag: Physica
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 158 Seiten, eBook

Reihe: Contributions to Management Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Neumann, Andreas W.

Inhaltsverzeichnis

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 Scientificc Libraries.- Visualizing and Exploring Information Spaces.- Discussion.