Table 1.
Aggregation methods.
Fig 1.
Architecture of the proposed memory-based CF method.
Table 2.
Conceptual decision matrix X.
Table 3.
Conceptual normalized decision matrix R.
Table 4.
Conceptual weighted normalized decision matrix V.
Table 5.
Conceptual separation matrix V′.
Fig 2.
Euclidean distances to the ideal and negative-ideal solutions.
Fig 3.
Experimental process with respect to input parameters, datasets, methods with & without TOPSIS, and measurements.
Table 6.
Recommendation confusion matrix.
Fig 4.
Recall measure by number of recommendations on 100K MovieLens.
Fig 5.
Recall measure by number of recommendations on 1M MovieLens.
Fig 6.
Recall measure by number of recommendations on HetRec2011.
Fig 7.
Recall measure by number of recommendations on FilmTrust.
Fig 8.
Precision measure by number of recommendations on 100K MovieLens.
Fig 9.
Precision measure by number of recommendations on 1M MovieLens.
Fig 10.
Precision measure by number of recommendations on HetRec2011.
Fig 11.
Precision measure by number of recommendations on FilmTrust.
Fig 12.
F-measure by number of recommendations on 100K MovieLens.
Fig 13.
F-measure by number of recommendations on 1M MovieLens.
Fig 14.
F-measure by number of recommendations on HetRec2011.
Fig 15.
F-measure by number of recommendations on FilmTrust.
Fig 16.
Comparison of MAP for all methods using all datasets.