Academic journal article Journal of Digital Information Management

Probabilistic Approaches to Recommendations

Academic journal article Journal of Digital Information Management

Probabilistic Approaches to Recommendations

Article excerpt

Probabilistic Approaches to Recommendations

Nicola Barbierir, Giuseppe Manco, Ettore Ritacco

Morgan & Claypool Publishers. UK

www.morganclaypool.com

ISBN: 9781627052573

The significance of the recommender systems has been outlined in very large number of texts and literature. The challenges in the recommender systems are wide and they are addressed in many texts out of which this current premier is designed to provide a good outlook on the issues.

This book has seven chapters with appendices and extensive bibliography. The first chapter on recommendation process provides a focus on the fundamental concepts including the formal framework of recommender system, evaluation and challenges. The second chapter introduces the various probabilistic models for collaborative filtering. Mixture modelling is important in the probability modelling and it is focused in this unit.

Authors in this chapter first used the description of the maximum likelihood estimation and its impact on Bayesian modelling. The parameters description and the algorithms associated with the models are adequately explained here. …

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.