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

Table 5

Comparison of user KNN and item KNN.

Algorithms	RMSE			MAE
	ML	ML	Ciao DVD	ML	ML	Ciao DVD
	100k	1M		100k	1M
User K-NN (cosine similarity)	0.947	0.899	0.975	0.746	0.706	0.737
User K-NN (Pearson correlation)	0.939	0.887	0.969	0.739	0.696	0.737
Item K-NN (cosine similarity)	0.934	0.883	0.975	0.736	0.694	0.736
Item K-NN (Pearson correlation)	0.933	0.879	0.964	0.734	0.690	0.734