Recommender Systems and the Social Web Leveraging Tagging Data for Recommender Systems /
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...
Main Author: | Gedikli, Fatih. (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | Electronic |
Language: | English |
Published: |
Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,
2013.
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Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-658-01948-8 |
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