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03254nam a22005295i 4500 |
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978-3-7908-2134-5 |
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DE-He213 |
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20151204141413.0 |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783790821345
|9 978-3-7908-2134-5
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|a 10.1007/978-3-7908-2134-5
|2 doi
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|a HF54.5-54.56
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|a KJQ
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|a UF
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|a BUS083000
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|a COM039000
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|a 650
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|a 658.05
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|a Neumann, Andreas W.
|e author.
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|a Recommender Systems for Information Providers
|h [electronic resource] :
|b Designing Customer Centric Paths to Information /
|c by Andreas W. Neumann.
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|a Heidelberg :
|b Physica-Verlag HD,
|c 2009.
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|a X, 158 p. 47 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Contributions to Management Science,
|x 1431-1941
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|a 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.
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|a 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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|a Business.
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|a Library science.
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|a Information technology.
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|a Business
|x Data processing.
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|a E-commerce.
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|a Business and Management.
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|a IT in Business.
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|a Library Science.
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|a e-Commerce/e-business.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783790821338
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830 |
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|a Contributions to Management Science,
|x 1431-1941
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856 |
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|u http://dx.doi.org/10.1007/978-3-7908-2134-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SBE
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|a Business and Economics (Springer-11643)
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