2 citations · 3 across the 4 of their papers we have counts for
4 papers
Fine-grained large-scale content recommendations for MSX sellers
Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli +6
One of the most critical tasks of Microsoft sellers is to meticulously track and nurture potential business opportunities through proactive engagement and tailored solutions. Recom…
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
Manpreet Singh, Ravdeep Pasricha, Nitish Singh +4
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 customer…
Searching, fast and slow, through product catalogs
Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa +3
String matching algorithms in the presence of abbreviations, such as in Stock Keeping Unit (SKU) product catalogs, remains a relatively unexplored topic. In this paper, we present…
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces
Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli +3
Typographical errors are a major source of frustration for visitors of online marketplaces. Because of the domain-specific nature of these marketplaces and the very short queries u…