Abstract: Video recommendation system is proposed for solving the problem of how to recommend video information that associated with users to the user accurately in the era of information overload. So the system require real-time and concurrent. Redis as one of NoSQL database products based on the memory Key-value engine showes certain advantages relative to traditional relational database. To improve efficiency, Redis puts the data storing in memory temporarily, or using virtual memory for data persistence. Therefore, the paper proposes the application of Redis in the video recommendation system, using the advantage of Redis to achieve a high efficiency of recommendation.

Key words: Key-value, Redis, NoSQL, information overload