Recommender Systems for Information Providers

Designing Customer Centric Paths to Information

  • Andreas W.┬áNeumann

Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Andreas W Neumann
    Pages 1-8
  3. Andreas W Neumann
    Pages 1-13
  4. Andreas W Neumann
    Pages 1-4
  5. Back Matter
    Pages 1-18

About this book


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.



Consumer buying behavior Internet Libraries Scientific Information Web 2.0 classification e-commerce

Authors and affiliations

  • Andreas W.┬áNeumann

There are no affiliations available

Bibliographic information