15 citations · 19 across the 4 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Efficient Parameter Sampling for Neural Network Construction
Drimik Roy Chowdhury, Muhammad Firmansyah Kasim
The customizable nature of deep learning models have allowed them to be successful predictors in various disciplines. These models are often trained with respect to thousands or mi…
cs.CY2019★ 15 cited
Data Preprocessing for Evaluation of Recommendation Models in E-Commerce
Namrata Chaudhary, Drimik Roy Chowdhury
E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations' influence on cus…
cs.IR2019★ 2 cited
Expanding Click and Buy rates: Exploration of evaluation metrics that measure the impact of personalized recommendation engines on e-commerce platforms
Namrata Chaudhary, Drimik Roy Chowdhury
To identify the most appropriate recommendation model for an e-commerce business, a live evaluation should be performed on the shopping website to measure the influence of personal…