13 citations · 49 across the 57 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.IR2018★ 4 cited
Indian Regional Movie Dataset for Recommender Systems
Prerna Agarwal, Richa Verma, Angshul Majumdar
Indian regional movie dataset is the first database of regional Indian movies, users and their ratings. It consists of movies belonging to 18 different Indian regional languages an…
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)…