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DTEND:20191220T120000Z
UID:db546d68d08c11cbf440da0835d61f99-30
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DESCRIPTION:Language Agnostic Representation Learning for Product Shopping and Discovery
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/30/language-agnostic-representation-learning-for-product-shopping-and-discovery/
SUMMARY:Have you ever wondered how we serve high quality content at Amazon across different languages in product shopping and discovery? In this talk I will touch upon various scientific challenges involved in serving high quality content to our customers. Particularly, when customers are looking for specific products, we select and show items that customers would like to purchase using query-product classification models. Learning a separate model for each language (across different countries Amazon.com vs Amazon.in) is challenging as the amount of (hard) negatives available is sparse and hard to obtain. We solve this problem in a language-agnostic manner using additional structured relationships, such as query-query alignment and product-product alignment. I will discuss how this additional data along with transformer encoder based architecture with scaled self-attention can outperform several state-of-the-art benchmarks. This paper is accepted for WSDM 2020.
 
At the end, I will discuss various job opportunities and academic collaborations to work with us in our brand new division here at Bangalore.
DTSTART:20191220T120000Z
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