Personalized recommendation is a hot spot of Internet service at present. The recommendation system based on users' historical behaviors and interest preferences has become the standard of major Internet platforms. In Netease Cloud Music, users will generate a large amount of user data in their usual music listening and searching behaviors, which provides a data basis for personalized recommendation of Netease Cloud Music. Netease Cloud Music finds out the music resources that users may like by analyzing these user data, thus providing users with a more comprehensive music experience.
For users of Netease Cloud Music, treasure digging is a very practical function. By digging treasures, users can discover good music that they have never discovered before, and at the same time, they can broaden their musical horizons and discover more music types and styles.
If you want to better use the treasure mining function of Netease Cloud Music, you can try the following methods:
1. Listen to different types of music, increase your listening records, and let Netease Cloud Music's personalized recommendation system know your music interests and preferences more accurately.
2. In the process of listening to songs, you can pay attention to some singers or musicians you like, so that Netease Cloud Music can recommend music related to these singers or musicians to users more accurately.
3. In the process of using Netease Cloud Music, you can try to use some scoring or collection functions, so that Netease Cloud Music can better understand the individual needs and preferences of users, thus providing users with more intimate services.
In short, the treasure-digging function of Netease Cloud Music provides users with a more comprehensive music experience, and users can better understand their music needs and preferences through some methods, so as to obtain better personalized recommendations.