How Sohu Enhances Personalized News Recommendation with Milvus

Sohu, a NASDAQ-listed company, partnered with Milvus to enhance its news recommendation system. The outdated legacy vector search stack in the recommender system was struggling to deliver real-time, personalized news due to slow retrieval and scalability issues. Milvus, an open-source vector database, provided a solution for handling large datasets and improving classification accuracy of short-text news articles. Sohu News integrated Milvus into its recommender system using a dual-tower structure and achieved a 10x faster vector retrieval speed and significantly improved recommendation accuracy. The collaboration with Milvus has transformed the user experience by offering more personalized and engaging news content.

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