Kiran Rama

According to our database, Kiran Rama authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.

Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué

CoRR, 2024

Searching, fast and slow, through product catalogs.

Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué

CoRR, 2024

2023

Improving search relevance of Azure Cognitive Search by Bayesian optimization.

Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué

CoRR, 2023

Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces.

Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué

CoRR, 2023

2021

Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution.

Kiran Rama, Pradeep Kumar, Bharat Bhasker

Neural Comput. Appl., 2021

2020

Oslcfit (organic simultaneous LSTM and CNN Fit): A novel deep learning based solution for sentiment polarity classification of reviews.

Kiran Rama, Pradeep Kumar, Bharat Bhasker

Expert Syst. Appl., 2020

DNNRec: A novel deep learning based hybrid recommender system.

Kiran Rama, Pradeep Kumar, Bharat Bhasker

Expert Syst. Appl., 2020

DriveML: An R Package for Driverless Machine Learning.

Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli

CoRR, 2020

A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting.

Sayan Putatunda, Kiran Rama

CoRR, 2020

2019

SmartEDA: An R Package for Automated Exploratory Data Analysis.

Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli

J. Open Source Softw., 2019

Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey.

Kiran Rama, Pradeep Kumar, Bharat Bhasker

CoRR, 2019

2018

A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost.

Sayan Putatunda, Kiran Rama

Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

2017

Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B.

Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

2016

List Price Optimization Using Customized Decision Trees.

Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016