5 citations · 9 across the 6 of their papers we have counts for
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cs.IR2019
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework
Anupriya Gogna, Angshul Majumdar
Design of recommender systems aimed at achieving high prediction accuracy is a widely researched area. However, several studies have suggested the need for diversified recommendati…
cs.IR2015★ 3 cited
Blind Compressive Sensing Framework for Collaborative Filtering
Anupriya Gogna, Angshul Majumdar
Existing works based on latent factor models have focused on representing the rating matrix as a product of user and item latent factor matrices, both being dense. Latent (factor)…