Customized selected songs for you

[sabarina38]

A completely personalized playlist is generated for each user every day. "Yuncun Star Review Hall": Recommendations of high-quality review content and corresponding song story cards. " ": Multi- type song recommendations, further refining the matching of user data and recommendations. Data level: relational data is completed through connecting data in three dimensions: songs, songs and users, and users.



Comb. Product data relationship analysis Compared with competing products, the "Private Radar" pioneered by NetEase Cloud Music has achieved a good balance in the recommendation of new and old songs. At number library the same time, the "Cloud Village Star Review Hall" combines the user reviews of the platform very well, not only discovering rich song dimensions, but also giving people a sense of musical resonance. At the same time, a good data analysis and planning has been done to prepare for personalized recommendations in the future. It is not difficult to understand why users praise this product as " one that understands me better than my girlfriend " .




Rhythmic Growth and Diversification Construction Loneliness of one person is loneliness, but loneliness of a group of people is an emotional carnival. A community cannot be separated from its users. In terms of user growth, NetEase Cloud Music once came from behind. There are two dimensions to the construction of NetEase Cloud Music Community. ( 1 ) Population division and development Music is a resonance of emotions and fragments of memories. Recommending the emotional resonance and memory fragments encountered by some users to other users with similar tastes can increase the probability of causing the same resonance. Therefore, it is important to find similar groups of people, in addition to label data analysis and matching.