Kiran Rama

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Parameter Tuning

Exploratory Data Analysis

Top Venues

Expert Syst. Appl.

Publications

Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation. CoRR (2024)
Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli, Kiran Rama, Nitish Singh, Akshita Agarwalla, Manoj R, Manish Prabhakar, Laurent Boué
Fine-grained large-scale content recommendations for MSX sellers. CoRR (2024)
Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué
Searching, fast and slow, through product catalogs. CoRR (2024)
Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué
Improving search relevance of Azure Cognitive Search by Bayesian optimization. CoRR (2023)
Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces. CoRR (2023)
Kiran Rama, Pradeep Kumar, Bharat Bhasker
Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution. Neural Comput. Appl. 33 (21) (2021)
Sayan Putatunda, Kiran Rama
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting. CoRR (2020)
Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Kondapalli
DriveML: An R Package for Driverless Machine Learning. CoRR (2020)
Kiran Rama, Pradeep Kumar, Bharat Bhasker
DNNRec: A novel deep learning based hybrid recommender system. Expert Syst. Appl. 144 (2020)
Kiran Rama, Pradeep Kumar, Bharat Bhasker
Oslcfit (organic simultaneous LSTM and CNN Fit): A novel deep learning based solution for sentiment polarity classification of reviews. Expert Syst. Appl. 157 (2020)
Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Kondapalli
SmartEDA: An R Package for Automated Exploratory Data Analysis. J. Open Source Softw. 4 (41) (2019)
Kiran Rama, Pradeep Kumar, Bharat Bhasker
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey. CoRR (2019)
Sayan Putatunda, Kiran Rama
A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost. SPML (2018)
Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B. ICDM (2017)
Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B. MLDM (2017)
Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia
List Price Optimization Using Customized Decision Trees. MLDM (2016)
Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia
List Price Optimization Using Customized Decision Trees. ICDM (2016)