2 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Improving search relevance of Azure Cognitive Search by Bayesian optimization
Nitin Agarwal, Ashish Kumar, Kiran R +2
Azure Cognitive Search (ACS) has emerged as a major contender in "Search as a Service" cloud products in recent years. However, one of the major challenges for ACS users is to impr…