TY  - BOOK
AU  - Gedikli,Fatih
ED  - SpringerLink (Online service)
TI  - Recommender Systems and the Social Web: Leveraging Tagging Data for Recommender Systems 
SN  - 9783658019488
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2013///
CY  - Wiesbaden
PB  - Springer Fachmedien Wiesbaden, Imprint: Springer Vieweg
KW  - Computer science
KW  - Data mining
KW  - Information storage and retrieval
KW  - User interfaces (Computer systems)
KW  - Computer Science
KW  - Data Mining and Knowledge Discovery
KW  - Information Storage and Retrieval
KW  - User Interfaces and Human Computer Interaction
N1  - Recommender Systems -- Social Tagging -- Algorithms -- Explanations
N2  - There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the user, one can learn the user’s individual preferences from the Social Web. This opens up completely new opportunities and challenges for recommender systems research. Fatih Gedikli deals with the question of how user-provided tagging data can be used to build better recommender systems. A tag recommender algorithm is proposed which recommends tags for users to annotate their favorite online resources. The author also proposes algorithms which exploit the user-provided tagging data and produce more accurate recommendations. On the basis of this idea, he shows how tags can be used to explain to the user the automatically generated recommendations in a clear and intuitively understandable form. With his book, Fatih Gedikli gives us an outlook on the next generation of recommendation systems in the Social Web sphere. Contents -  Recommender Systems -  Social Tagging -  Algorithms -  Explanations   Target Groups ·         Researchers and students of computer science ·         Computer and web programmers   The Author Dr. Fatih Gedikli is a research assistant in computer science at TU Dortmund, Germany
UR  - http://dx.doi.org/10.1007/978-3-658-01948-8
ER  -