Kiran Rama

17 papers A* 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.
CoRR
Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué
2024 J jnl
Fine-grained large-scale content recommendations for MSX sellers.
CoRR
Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli, Kiran Rama, Nitish Singh, Akshita Agarwalla, Manoj R, Manish Prabhakar, Laurent Boué
2024 J jnl
Searching, fast and slow, through product catalogs.
CoRR
Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué
2023 J jnl
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces.
CoRR
Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué
2023 J jnl
Improving search relevance of Azure Cognitive Search by Bayesian optimization.
CoRR
Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué
2021 J jnl
Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution.
Neural Comput. Appl.
Kiran Rama, Pradeep Kumar, Bharat Bhasker
2020 J jnl
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting.
CoRR
Sayan Putatunda, Kiran Rama
2020 J jnl
DNNRec: A novel deep learning based hybrid recommender system.
Expert Syst. Appl.
Kiran Rama, Pradeep Kumar, Bharat Bhasker
2020 J jnl
DriveML: An R Package for Driverless Machine Learning.
CoRR
Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli
2020 J jnl
Oslcfit (organic simultaneous LSTM and CNN Fit): A novel deep learning based solution for sentiment polarity classification of reviews.
Expert Syst. Appl.
Kiran Rama, Pradeep Kumar, Bharat Bhasker
2019 J jnl
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey.
CoRR
Kiran Rama, Pradeep Kumar, Bharat Bhasker
2019 J jnl
SmartEDA: An R Package for Automated Exploratory Data Analysis.
J. Open Source Softw.
Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli
2018 — conf
A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost.
SPML
Sayan Putatunda, Kiran Rama
2017 A* conf
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B.
ICDM
Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
2017 — conf
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B.
MLDM
Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
2016 A* conf
List Price Optimization Using Customized Decision Trees.
ICDM
Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia
2016 — conf
List Price Optimization Using Customized Decision Trees.
MLDM
Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia