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

• Main Author: Neumann, Andreas W. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Heidelberg : Physica-Verlag HD, 2009.
• Series: Contributions to Management Science,
• Subjects: Economics.; Electronic commerce.; Library science.; Management information systems.; Economics/Management Science.; Electronic Commerce/e-business.; Library Science.; Business Information Systems.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-7908-2134-5

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...

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.