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• Author/Creator:Neumann, Andreas W.
  
• Title:Recommender Systems for Information Providers [electronic resource] : Designing Customer Centric Paths to Information / by Andreas W. Neumann.
  
• ISBN:9783790821345
  
• Publication:Heidelberg : Physica-Verlag HD, 2009.
  
• Physical Description:1 online resource (X, 158 p.) 47 illus.
  
• Links:Online book
  

• Yale Holdings

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  • Location:Yale Internet Resource
    Information about Off Campus Access
    
    
  • Call Number: None
    
  • Status:No information available 
  • Notes: Online resource
    

   
• Local Notes:Access is available to the Yale community.
  
• Access and use:Access restricted by licensing agreement.
• Summary: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. .
  
• In_:Springer eBooks
  
• Variant and related titles:Springer ENIN.
  
• Other formats:Printed edition:
  Printed edition:
  Printed edition:
  
• Format:Book
• Series:Contributions to Management Science,
  Contributions to management science.
  
• Contents: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.
  
• Subjects:Information technology.
  Library science.
  
• Also listed under:SpringerLink (Online service)