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

• Main Author: Gedikli, Fatih (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2013.
• Subjects: Computer science.; Data mining.; Information storage and retrieval.; User interfaces (Computer systems).; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; User Interfaces and Human Computer Interaction.

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...

Table of Contents:

• Recommender Systems
• Social Tagging
• Algorithms
• Explanations.