The cloud has well met the need for personalization through the private recommendation function. On the one hand, it satisfies users to listen to their favorite old songs and resonate with them through reminiscence. it recommends new songs and songs that users have never heard before, expanding the user's listening range.
For every 10 times of music playback on NetEase Cloud Music , 2.8 times it is recommended on the platform. The platform's recommendations have greatly improved the user's listening experience. The overall number library logic of private recommendations is to improve the efficiency of music dissemination, help users discover their own music preferences, and thus increase user stickiness. We can understand the recommendation function from the following two aspects.
Functional level: NetEase Cloud mainly made the following scenario-based designs to achieve the above content: "Daily Recommendation" and "Private FM ": Based on user tastes, focus on recommending new songs to help users explore. " Heartbeat Mode": Recommend songs of the same type and with high relevance based on the red heart songs to realize the song recall scenario. "Private Radar": Based on all historical preferences and real-time preferences.