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100301s2009 gw | s |||| 0|eng d |
| 020 |
# |
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|a 9783790821345
|9 978-3-7908-2134-5
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| 024 |
7 |
# |
|a 10.1007/978-3-7908-2134-5
|2 doi
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| 100 |
1 |
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|a Neumann, Andreas W.
|e author.
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| 245 |
1 |
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|a Recommender Systems for Information Providers
|b Designing Customer Centric Paths to Information /
|c by Andreas W. Neumann.
|h [electronic resource] :
|
| 264 |
# |
1 |
|a Heidelberg :
|b Physica-Verlag HD,
|c 2009.
|
| 300 |
# |
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|b online resource.
|
| 336 |
# |
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|a text
|b txt
|2 rdacontent
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| 337 |
# |
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|a computer
|b c
|2 rdamedia
|
| 338 |
# |
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|a online resource
|b cr
|2 rdacarrier
|
| 347 |
# |
# |
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
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|a Contributions to Management Science,
|x 1431-1941
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| 505 |
0 |
# |
|a Introduction -- 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 Scientific Libraries -- Visualizing and Exploring Information Spaces. Discussion.
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| 520 |
# |
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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.
|
| 650 |
# |
0 |
|a Economics.
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| 650 |
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0 |
|a Electronic commerce.
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| 650 |
# |
0 |
|a Library science.
|
| 650 |
# |
0 |
|a Management information systems.
|
| 650 |
1 |
4 |
|a Economics/Management Science.
|
| 650 |
2 |
4 |
|a Electronic Commerce/e-business.
|
| 650 |
2 |
4 |
|a Library Science.
|
| 650 |
2 |
4 |
|a Business Information Systems.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
# |
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783790821338
|
| 830 |
# |
0 |
|a Contributions to Management Science,
|x 1431-1941
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-7908-2134-5
|
| 912 |
# |
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|a ZDB-2-SBE
|
| 950 |
# |
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|a Business and Economics (Springer-11643)
|