Sohu is a Nasdaq-listed company that offers advertising, search engine, online multiplayer gaming, and many other services. The company built the Sohu News App to provide its users with personalized content. To improve the click-through rate (CTR) and relevance of the app’s recommendations, Sohu leveraged semantic vector similarity search.
Sohu used Milvus, an open-source vector database built by Zilliz, to power the core semantic similarity search engine inside its intelligent news aggregator.
Build a news aggregator that automatically recommends relevant news articles based on user preferences, search history, engagement, and more.
"Milvus greatly improved our efficiency when discovering 'bad cases' of short text classification. Additionally, the vector database drastically accelerated retrieval of millions of semantic vectors. We saw a near tenfold advancement compared to how things were when we were using other vector similarity search engines. "Read the full story