Term Based Retrieval

Term-based retrieval, a cornerstone of information retrieval, is undergoing significant evolution driven by advancements in deep learning. Current research focuses on enhancing retrieval accuracy in specialized domains by incorporating domain-specific vocabularies and leveraging contextual information through techniques like topical taxonomies and hybrid retrieval systems that combine traditional term-based methods with dense vector representations. This research aims to improve the effectiveness and efficiency of information retrieval across various applications, impacting fields ranging from scientific literature search to industrial knowledge management.