Exploiting feature extraction techniques on users’ reviews for movies recommendation

Journal of the Brazilian Computer Society

Table 4 The average RMSE results for the feature extraction techniques applied in both databases

		k = 20	k = 40	k = 60	k = 80	k = 100
ML 100k	Heuristic terms	0.9310	0.9314	0.9330	0.9347	0.9361
	Classification terms	0.9302	0.9306	0.9328	0.9345	0.9360
	Heuristic aspects	0.9424	0.9409	0.9403	0.9403	0.9404
	Hierarchy aspects	0.9406	0.9383	0.9381	0.9384	0.9388
HetRec ML	Heuristic terms	0.8025	0.8030	0.8050	0.8071	0.8090
	Classification terms	0.7964	0.7978	0.8005	0.8030	0.8052
	Heuristic aspects	0.8289	0.8267	0.8270	0.8277	0.8285
	Hierarchy aspects	0.8173	0.8168	0.8184	0.8200	0.8214