推荐系统与协同过滤、奇异值分解
通过网络中留下的痕迹，例如观影记录，挖掘人潜在的偏好向量，进而物以类聚人以群分，开展个性化推荐Through the traces left in the network, such as movie viewing records, the potential preference vectors of people are mined, and then people are grouped together to carry out personalized recommendations...
