Frequently Asked Question Retrieval

Frequently Asked Question (FAQ) retrieval focuses on efficiently matching user queries with relevant answers from a knowledge base of FAQs, aiming to improve user experience and information access. Current research emphasizes improving retrieval accuracy and speed through techniques like leveraging multiple FAQ fields (e.g., question, answer, category) within bi-encoder models, generating synthetic questions from atomic units of FAQ content, and employing intent classification to pre-filter queries. These advancements are crucial for applications like product search and task-oriented dialog systems, where efficient and accurate FAQ retrieval enhances user satisfaction and streamlines information delivery.