Search Results for author:
Found 7 papers, 2 papers with code
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
In this paper, we design a real-time question-answering system specifically targeted for helping sellers get relevant material/documentation they can share live with their customers or refer to during a call.
Searching, fast and slow, through product catalogs
String matching algorithms in the presence of abbreviations, such as in Stock Keeping Unit (SKU) product catalogs, remains a relatively unexplored topic.
Improving search relevance of Azure Cognitive Search by Bayesian optimization
Azure Cognitive Search (ACS) has emerged as a major contender in "Search as a Service" cloud products in recent years.
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces
Typographical errors are a major source of frustration for visitors of online marketplaces.
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects
Dependency hell is a well-known pain point in the development of large software projects and machine learning (ML) code bases are not immune from it.
Real numbers, data science and chaos: How to fit any dataset with a single parameter
We show how any dataset of any modality (time-series, images, sound...) can be approximated by a well-behaved (continuous, differentiable...) scalar function with a single real-valued parameter.
Deep learning for pedestrians: backpropagation in CNNs
The goal of this document is to provide a pedagogical introduction to the main concepts underpinning the training of deep neural networks using gradient descent; a process known as backpropagation.
