2 citations · 7 across the 14 of their papers we have counts for
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3 papers · 1 filter
cs.IR2019★ 1 cited
Collaborative Filtering and Multi-Label Classification with Matrix Factorization
Vikas Kumar
Machine learning techniques for Recommendation System (RS) and Classification has become a prime focus of research to tackle the problem of information overload. RS are software to…
cs.LG2019★ 2 cited
Block based Singular Value Decomposition approach to matrix factorization for recommender systems
Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
With the abundance of data in recent years, interesting challenges are posed in the area of recommender systems. Producing high quality recommendations with scalability and perform…
cs.GT2019
Committee Selection with Attribute Level Preferences
Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan +1
We consider the problem of committee selection from a fixed set of candidates where each candidate has multiple quantifiable attributes. To select the best possible committee, inst…