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Exploiting context in kernel-mapping recommender system algorithms

Published in Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE • Dec 24, 2013
Authors:
Mustansar Ali Ghazanfar
,
Adam Prügel‐Bennett

Abstract

Making e ective recommendations from a domain consisting of millions of ratings is a major research challenge in the application of machine learning. Kernel Mapping Recommender (KMR) algorithms have been proposed providing state-of-the-art performance. In this paper, we show how context information ...

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