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The design of a recommender system is largely influenced by its domain of application. A recommender system for niche application requires more accuracy as it targets a specific audience or a specific genre of products to recommend. Certain examples of niche domains include course recommendation for university courses, text recommendation for translators etc. In this paper, we address the problem...
Extracting the underlying low-dimensional space where high-dimensional signals often reside has been at the center of numerous algorithms in the signal processing and machine learning literature during the past few decades. Moreover, working with incomplete large scale datasets has recently been commonplace for diverse reasons. This so called big data era we are currently living calls for devising...
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