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ORCIDKiran Rama
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2020 – today
- 2024
[i8]Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué:
Searching, fast and slow, through product catalogs. CoRR abs/2401.00737 (2024)- [i7]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 abs/2401.04732 (2024) - [i6]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 abs/2407.06910 (2024) - 2023
- [i5]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 abs/2308.01976 (2023) - [i4]Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué:
Improving search relevance of Azure Cognitive Search by Bayesian optimization. CoRR abs/2312.08021 (2023) - 2021
- [j4]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): 14167-14177 (2021) - 2020
- [j3]Kiran Rama, Pradeep Kumar, Bharat Bhasker:
DNNRec: A novel deep learning based hybrid recommender system. Expert Syst. Appl. 144: 113054 (2020) - [j2]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: 113488 (2020) - [i3]Sayan Putatunda, Kiran Rama:
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting. CoRR abs/2004.05041 (2020) - [i2]Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli:
DriveML: An R Package for Driverless Machine Learning. CoRR abs/2005.00478 (2020)
2010 – 2019
- 2019
- [j1]Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli:
SmartEDA: An R Package for Automated Exploratory Data Analysis. J. Open Source Softw. 4(41): 1509 (2019) - [i1]Kiran Rama, Pradeep Kumar, Bharat Bhasker:
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey. CoRR abs/1907.08674 (2019) - 2018
- [c5]Sayan Putatunda, Kiran Rama:
A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost. SPML 2018: 6-10 - 2017
- [c4]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: 45-56 - [c3]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: 107-116 - 2016
- [c2]Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia:
List Price Optimization Using Customized Decision Trees. ICDM 2016: 438-444 - [c1]Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia:
List Price Optimization Using Customized Decision Trees. MLDM 2016: 88-97
Coauthor Index
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