Scalable Attribute Extraction at Instacart
Shih-Ting Lin · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining · 2022
Structured attribute information extracted from natural text inputs has been extensively exploited in e-commerce to help improve the customer experience. For example, attributes can be extracted from the product catalog data such as product name & product descriptions; similarly, attributes can also be extracted from user queries to the search engine. Having these attribute information available can help greatly boost relevance of many different functionalities such as search, recommendation, and ads. However, with the huge space of product categories and extensive details in the product information, how to extract attribute information from text with high accuracy and high efficiency becomes an extremely challenging problem.