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机器学习:1)离线统计(统计数据即可),离线推荐(基于LFM隐语义模型 采用ALS算法 ,并根据最小方差计算RMSE),2)实时推荐,实时根据用户最近看过的一部电影,找到相似的电影(相似矩阵由上一个需求得出)作为候选电影,再结合最近评分的电影,推出优先级别 3)基于内容(电影)的推荐,TF-IDF算法 4) 针对冷启动问题建议打上专家标签

Scala 92.79% Java 7.21%

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