A1
所属分类：其他
开发工具：Python
文件大小：3705KB
下载次数：3
上传日期：2017-12-04 02:27:01
上 传 者：
阿琪真的很严格
说明： 基于梯度下降的推荐算法, 数据库来自neflix网站所注册的用户。
(recommendation algorithm based on gradient descent)
文件列表:
A1 (0, 2017-10-08)
A1\A1_ALS.py (4010, 2017-09-24)
A1\A1_GradientDescent.py (3618, 2017-09-24)
A1\A1_NaiveApproach_1.py (347, 2017-09-25)
A1\A1_NaiveApproach_2.py (900, 2017-09-25)
A1\A1_NaiveApproach_3.py (879, 2017-09-25)
A1\A1_NaiveApproach_4.py (3986, 2017-09-24)
A1\data.npy (24005096, 2017-09-13)
A1\Report_for_Assignment_1.pdf (260357, 2017-09-26)
A1_NaiveApproach_1:we apply global average ratings to predict ratings.
A1_NaiveApproach_2:we apply item average ratings to predict ratings.
A1_NaiveApproach_3:we apply user average ratings to predict ratings.
A1_NaiveApproach_4:we apply linear regression to predict ratings.
A1_GradientDescent:we apply Matrix Factoriation with Gradient Descent
to train weights in both users and movies.
A1_ALS:we apply Alternative Least Square to update weights in both users and movies.
data.npy is the only data we use in our implementations, including user ID, movie ID and their ratings.
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