Andreas W. Neumann

Recommender Systems for Information Providers (eBook, PDF)

Designing Customer Centric Paths to Information

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Physica-Verlag HD
• Seitenzahl: 158
• Erscheinungstermin: 3. März 2009
• Englisch
• ISBN-13: 9783790821345
• Artikelnr.: 37398478

Inhaltsangabe

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.