Nov. 17, 2023, 11:13 p.m. | Tanya Malhotra


Web search and e-commerce product search are two primary applications that depend on accurate real-time semantic matching. In product searches, the difficulty is in bridging the semantic gap between user queries and the associated results. The matching procedure generally consists of two steps: Product Sourcing (PS) and Automated Query Reformulation. Product sourcing retrieves matching results […]

The post Amazon Researchers Propose KD-Boost: A Novel Knowledge Distillation Algorithm Designed for Real-Time Semantic Matching appeared first on MarkTechPost.

ai shorts algorithm amazon applications artificial intelligence boost commerce distillation e-commerce editors pick gap knowledge machine learning novel product product search real-time researchers search semantic staff tech news technology web web search

More from / MarkTechPost

Machine Learning Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, Ca

Senior Data Engineer (Microsoft Azure)

@ Capco | UK - London

Senior Data Analyst

@ Publicis Groupe | Bengaluru, India

Senior Data Engineer

@ Press Ganey | Chicago, IL, United States

Senior Data Scientist (remote from EU)

@ PriceHubble | Vienna, Vienna, Austria - Remote

Data Science Co-op

@ Novelis | Atlanta, GA, United States