Recommender Systems and the Social Web Leveraging Tagging Data for Recommender Systems

Recommender Systems and the Social Web Leveraging Tagging Data for Recommender Systems / by Fatih Gedikli.

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...

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Bibliographic Details
Main Author: Gedikli, Fatih (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2013.
Edition:1st ed. 2013.
Series:Springer eBook Collection.
Subjects:
Data mining.
Information storage and retrieval.
User interfaces (Computer systems).
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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