Semantic textual similarity (STS) is a technology that compares the meaning of two pieces of text by analyzing their underlying context and intent. It's used to improve search engine results and recommendation systems by identifying relevant and personalized content. STS goes beyond traditional keyword matching, allowing search engines to understand linguistic ambiguity and variation in user queries. This enables more accurate search results and improved customer experience for online retailers.