3 papers
cs.IR2023
Ngram-LSTM Open Rate Prediction Model (NLORP) and Error_accuracy@C metric: Simple effective, and easy to implement approach to predict open rates for marketing email
Shubham Joshi, Indradumna Banerjee
Our generation has seen an exponential increase in digital tools adoption. One of the unique areas where digital tools have made an exponential foray is in the sphere of digital ma…
cs.AI2023
MLOps with enhanced performance control and observability
Indradumna Banerjee, Dinesh Ghanta, Girish Nautiyal +3
The explosion of data and its ever increasing complexity in the last few years, has made MLOps systems more prone to failure, and new tools need to be embedded in such systems to a…
cs.IR2016
JU_KS_Group@FIRE 2016: Consumer Health Information Search
Kamal Sarkar, Debanjan Das, Indra Banerjee +2
In this paper, we describe the methodology used and the results obtained by us for completing the tasks given under the shared task on Consumer Health Information Search (CHIS) col…