Relevance Detection

Relevance Detection is a key technology in natural language processing aimed at identifying and evaluating the relevance between pieces of text content through algorithms. Its core objective is to enhance the accuracy and efficiency of applications such as information retrieval, recommendation systems, and dialogue management, ensuring that users receive the most relevant information. This technology holds significant application value in areas like search engine optimization, personalized recommendations, and intelligent customer service, capable of notably improving user experience and system performance.