Empowering Shoppers with Event-focused Search

We present Event-focused Search, an automated and scalable pipeline designed to facilitate event discovery and enhance event-based search. This is done by leveraging large language models (LLMs) to populate event datasets, perform temporal search based on selected dates, and aggregate search results based on appropriate events based on those searches. We illustrate this pipeline through proof-of-concept interfaces in an e-commerce context, though such a framework is applicable to different types of search scenarios (e.g., sports, entertainment).