Weiyi Sun

Weiyi Sun PhD is an Associate Director of Machine Learning (ML) at Wayfair. She leads the design and application of state-of-the-art ML algorithms for product search, resulting in AI-driven improvements of hundreds of millions in incremental revenue gains annually The product search team’s portfolio includes query auto-completion, query understanding, product retrieval, and ranking for all Wayfair sites across multiple geo-locations in various languages. Formerly, she was a research science manager at Nuance Communications Inc., a Microsoft company, delivering cutting-edge Artificial Intelligence solutions for the healthcare industry. Prior to that, Weiyi’s doctoral research focused on temporal reasoning and information extraction in clinical narratives.

Wayfair Tech Blog

Wayfair releases WANDS, the largest and richest publicly available dataset for e-commerce product search relevance

Search relevance – the relationship between users’ queries and the products returned in search results – is one of the most important performance indicators for ecommerce storefronts. However, the sheer volume of the data makes evaluating and improving search relevance a difficult proposition. To give just one example, the Wayfair catalog has millions of products, which makes it difficult to create relevance-focused evaluation datasets manually.

5 Min Read

A screenshot of the Wayfair Search Page displaying a search for "hunter green table". Search results show rugs, chair cushions, and tables

Wayfair Tech Blog

How Wayfair’s Scientists Collaborated with Innovative Startup ThirdAI to Serve Hyper-Relevant Search Results to Customers

Wayfair has tens of millions of products that serve the needs of over 33 million customers. Each of our customers have nuanced preferences as they buy products to help them create their own unique sense of home. Our search and recommender systems play an important role in helping customers find these products as quickly and conveniently as possible.

5 Min Read