Frequency-based similarity measure for multimedia recommender systems

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Frequency-based similarity measure for multimedia recommender systems

Personalized recommendation has become a pivotal aspect of online marketing and e-commerce as a means of overcoming the information overload problem. There are several recommendation techniques but collaborative recommendation is the most effective and widely used technique. It relies on either item...

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Bibliographic Details
Main Authors:	Rehman, Zia ur, Hussain, Farookh Khadeer, Hussain, Omar
Format:	Journal Article
Published:	Springer-Verlag 2012
Subjects:	multimedia content recommender systems personalization similarity measures collaborative filtering
Online Access:	http://hdl.handle.net/20.500.11937/43318

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