Matrix-Factorization

English Version
矩阵分解算法pytorch实现

数据集

采用GroupLens提供的MovieLens数据集
MovieLens数据集有3个不同版本，选用中等大小的数据集
该数据集包含6000多名用户对4000多部电影的100万条评分

数据集格式

* ratings.dat: UserID::MovieID::Rating::Timestamp  

	- UserID:用户ID范围从1到6040  
	- MovieID:电影ID范围从1到3952  
	- Ratings:评分有1到5的5个等级
	- 每个用户最少有20条评分数据

* users.dat: UserID::Gender::Age::Occupation::Zip-code

	- Gender: "M"代表男，"F"代表女  
	- Age: 年龄从下面的范围中选择
	
		*  1:  "Under 18"
		* 18:  "18-24"
		* 25:  "25-34"
		* 35:  "35-44"
		* 45:  "45-49"
		* 50:  "50-55"
		* 56:  "56+"
		
	- Occupation: 职业包括下面的类别
	
		*  0:  "other" or not specified
		*  1:  "academic/educator"
		*  2:  "artist"
		*  3:  "clerical/admin"
		*  4:  "college/grad student"
		*  5:  "customer service"
		*  6:  "doctor/health care"
		*  7:  "executive/managerial"
		*  8:  "farmer"
		*  9:  "homemaker"
		* 10:  "K-12 student"
		* 11:  "lawyer"
		* 12:  "programmer"
		* 13:  "retired"
		* 14:  "sales/marketing"
		* 15:  "scientist"
		* 16:  "self-employed"
		* 17:  "technician/engineer"
		* 18:  "tradesman/craftsman"
		* 19:  "unemployed"
		* 20:  "writer"

* movies.dat: MovieID::Title::Genres  

	- Genres:电影类别包括以下的类别  
	
		* Action
		* Adventure
		* Animation
		* Children's
		* Comedy
		* Crime
		* Documentary
		* Drama
		* Fantasy
		* Film-Noir
		* Horror
		* Musical
		* Mystery
		* Romance
		* Sci-Fi
		* Thriller
		* War
		* Western

License

Apache-2.0 License