Users’ Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures

Table 1

Showing the comparison of previous work of CF.

Year refer.	Method	Dataset	Results
2020 [14]	Proposed collaborative recommendation system of deep learning method (DLCRS)	MovieLens 1M Movielens 100k	MovieLens 1M: RMSE0.903
2020 [15]	Novel technique that combines similarity measurement based on ranking and similarity measurement based on the structure	MovieLens 1M Movielens 100k	RMSE 0.909 MAE 0.708
2020 [16]	Similarity measure multifactor	CiaoDVD MovieLens 100k FilmTrust	RMSE 1.0084 MAE 0.7835
2021 [17]	Proposed a simple linear model named UserReg, based on the matrix factorization (MF)	MovieLens, FilmTrust, and Yelp	RMSE 0.789
2021 [18]	Proposed the α-divergence based on item similarity measures	MovieLens, FilmTrust	MAE 0.74 RMSE 0.97