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

• Κύριος συγγραφέας: Gedikli, Fatih (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2013.
• Θέματα: 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...

Πίνακας περιεχομένων:

• Recommender Systems
• Social Tagging
• Algorithms
• Explanations.