Create a Movie Recommendation Engine with Milvus and Python
There are various types of recommender systems, such as collaborative filtering, content-based filtering, hybrid recommendation systems, and vector-based recommendation systems. Vector-based systems use the vector space to find (recommend) the closest items in the database. There are various ways to store these vectors; one of the most efficient ones is using the Milvus open source vector database. This database is highly flexible, fast and reliable and allows for trillion-byte-scale addition, deletion, updating, and nearly real-time search of vectors. This article from Gourav Bais on Zilliz’s blog explains how to build a movie recommender with Milvus and Python.