M
Madan Mohan Rao Jampani
Researcher at Amazon.com
Publications - 6
Citations - 4360
Madan Mohan Rao Jampani is an academic researcher from Amazon.com. The author has contributed to research in topics: Personalization & Spoken language. The author has an hindex of 3, co-authored 6 publications receiving 4162 citations.
Papers
More filters
Proceedings ArticleDOI
Dynamo: amazon's highly available key-value store
Giuseppe deCandia,Deniz Hastorun,Madan Mohan Rao Jampani,Gunavardhan Kakulapati,Avinash Lakshman,Alex Pilchin,Swaminathan Sivasubramanian,Peter Sven Vosshall,Werner Vogels +8 more
TL;DR: D Dynamo is presented, a highly available key-value storage system that some of Amazon's core services use to provide an "always-on" experience and makes extensive use of object versioning and application-assisted conflict resolution in a manner that provides a novel interface for developers to use.
Patent
Generation of predictive natural language processing models
William Folwell Barton,Rohit Prasad,Stephen F. Potter,Nikko Strom,Yuzo Watanabe,Madan Mohan Rao Jampani,Ariya Rastrow,Arushan Rajasekaram +7 more
TL;DR: In this article, features are disclosed for generating predictive personal natural language processing models based on user-specific profile information, which can provide broader coverage of the various terms, named entities, and intents of an utterance by the user than a personal model, while providing better accuracy than a general model.
Patent
Retrieval and management of spoken language understanding personalization data
TL;DR: In this paper, features are disclosed for maintaining data that can be used to personalize spoken language processing, such as automatic speech recognition (ASR), natural language understanding (NLU) and natural language processing (NLP) etc.
Patent
Efficient generation of personalized spoken language understanding models
TL;DR: In this paper, features are disclosed for maintaining data that can be used to personalize spoken language understanding models, such as speech recognition or NER models, which can be updated based on updates to personalization data or some other portion of the stored personalisation data.
Patent
Scalable distributed data processing and indexing
Pracheer Gupta,Perumalla Poorna Chand Srinivas,Andrea Olgiati,Madan Mohan Rao Jampani,Stefano Stefani +4 more
TL;DR: In this article, a computing resource service provider deploys resources to process input data sets on an ongoing basis and provides requestors with queryable data structures generated from the input data set over determined, rolling periods of time.