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

From: Exploiting feature extraction techniques on users’ reviews for movies recommendation

  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