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Laurent Boué

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.IRShow all

3 papers · 1 filter

cs.IR2024

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…

cs.IR2024★ 2 cited

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…

cs.IR2024★ 1 cited

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…

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