A latent factor model based movie recommender using smartphone browsing history

Abstract

Personalization of movie recommendations is a widely researched topic. Personalization is usually carried out using local resources that are available at one's disposal. This local resource presents a snapshot of user preference at a particular moment. It doesn't address the long term user preferences. These concerns can be addressed using resources… (More)

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@article{R2017ALF, title={A latent factor model based movie recommender using smartphone browsing history}, author={Dixon Prem Daniel R and Rangaraja P. Sundarraj}, journal={2017 International Conference on Research and Innovation in Information Systems (ICRIIS)}, year={2017}, pages={1-6} }