Read Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)

Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)

Andreas W. Neumann

4.9/5 (30797 ratings)

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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science). To get started finding Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 3790821330

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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science). To get started finding Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)

Recommender Systems for Information Providers: Designing Customer Centric Paths to Information (Contributions to Management Science)

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