Using AI to Understand Search Intent by eBay applied researcher, Aritra Mandal

We are honoured to have eBay applied researcher Aritra Mandal to give a talk on using AI technique to solve query understanding problems for eCommerce search.

Abstract:

In this talk, I will explore how AI can help understand query intent in the context of ecommerce search. We will focus on two specific aspects of this problem: query categorization and query similarity. Specifically, I will describe how to train a query categorization model from engagement data and how to recognize equivalent queries using embeddings trained from search behavior.

Bio:
Aritra Mandal is an applied researcher on the Search team at eBay. He focuses on search quality and is leveraging AI/ML, structured data, and knowledge graphs to improve the search engine that powers eBay’s marketplace. Aritra received his BEng in computer science from Birla Institute of Technology and his MS in computer and information science from Indiana University–Purdue University Indianapolis.