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Flexible pricing options for every team on any budget Estimate your cost By Use Case Copied Zilliz Cloud Fully-managed vector database service designed for speed, scale and high performance. Milvus Open-source vector database built for billion-scale vector similarity search. Documentation The Zilliz Cloud Developer Hub where you can find all the information to work with Zilliz Cloud Learn More How do AI agents work in recommendation systems? AI agents in recommendation systems work by analyzing user data, understanding patterns, and generating personalized suggestions based on preferences and behavior. At the core of these systems is a set of algorithms that take historical user interactions—such as clicks, ratings, and purchases—and apply statistical techniques or machine learning models to predict what users might like in the future. For instance, an AI agent might look at the movies a user has watched and rated highly to suggest similar films they haven’t yet seen. One common approach is collaborative filtering, where the AI compares a user's behavior with others in the system. If two users have similar tastes, the system can recommend items that one user has enjoyed but the other hasn’t yet discovered. For example, in a music streaming service, if User A and User B both liked similar artists, the system might suggest other artists that User B has listened to but User A hasn’t. This technique relies heavily on the collective preferences of all users to make tailored suggestions. Another method used is content-based filtering, which looks at the characteristics of the items themselves—be it books, movies, or products. In this case, the AI agent examines features such as genre, author, or keywords. For example, if a user frequently reads science fiction novels by a particular author, the system might recommend other science fiction titles that share similar themes or styles. By employing a combination of these strategies, recommendation systems create a more engaging user experience that helps users discover content relevant to their interests. Zilliz Cloud is a managed vector database perfect for building GenAI applications. 201 Redwood Shores Pkwy, Suite 330 Redwood City, California 94065