Recommender Systems for Information Providers

Released on by Andreas W. Neumann
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  • Recommender Systems for Information Providers Book Detail

  • Author : Andreas W. Neumann
  • Release Date : 2009-03-03
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Pages : 160
  • ISBN 13 : 3790821349
  • File Size : 24,24 MB
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Recommender Systems for Information Providers by Andreas W. Neumann PDF Summary

Book Description: 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.

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