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Recommender Systems for Information Providers [electronic resource] :Designing Customer Centric Paths to Information / by Andreas W. Neumann.

by Neumann, Andreas W [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Contributions to Management Science: Publisher: Heidelberg : Physica-Verlag HD, 2009.Description: online resource.ISBN: 9783790821345.Subject(s): Economics | Electronic commerce | Library science | Management information systems | Economics/Management Science | Electronic Commerce/e-business | Library Science | Business Information SystemsOnline resources: Click here to access online
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.
In: Springer eBooksSummary: 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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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.

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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