Recommender Systems for Information Providers Designing Customer Centric Paths to Information /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Neumann, Andreas W. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Physica-Verlag HD, 2009.
Σειρά:Contributions to Management Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03254nam a22005295i 4500
001 978-3-7908-2134-5
003 DE-He213
005 20151204141413.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783790821345  |9 978-3-7908-2134-5 
024 7 |a 10.1007/978-3-7908-2134-5  |2 doi 
040 |d GrThAP 
050 4 |a HF54.5-54.56 
072 7 |a KJQ  |2 bicssc 
072 7 |a UF  |2 bicssc 
072 7 |a BUS083000  |2 bisacsh 
072 7 |a COM039000  |2 bisacsh 
082 0 4 |a 650  |2 23 
082 0 4 |a 658.05  |2 23 
100 1 |a Neumann, Andreas W.  |e author. 
245 1 0 |a Recommender Systems for Information Providers  |h [electronic resource] :  |b Designing Customer Centric Paths to Information /  |c by Andreas W. Neumann. 
264 1 |a Heidelberg :  |b Physica-Verlag HD,  |c 2009. 
300 |a X, 158 p. 47 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Contributions to Management Science,  |x 1431-1941 
505 0 |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. 
520 |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 Business. 
650 0 |a Library science. 
650 0 |a Information technology. 
650 0 |a Business  |x Data processing. 
650 0 |a E-commerce. 
650 1 4 |a Business and Management. 
650 2 4 |a IT in Business. 
650 2 4 |a Library Science. 
650 2 4 |a e-Commerce/e-business. 
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 http://dx.doi.org/10.1007/978-3-7908-2134-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)