<p>Number of recommendation is 100. There was no significant change in the performance rank among measures when we varied the number to 10 and 50.</p
This data relates to the paper "Position Bias in Recommender Systems for Digital Libraries". During ...
Recommender system evaluation usually focuses on the overall effectiveness of the algorithms, either...
This technical report contains all the measurements in the form of graphs that we conducted in our r...
Movielens 20M contains about 20 million rating records of 27,278 movies rated by 138493 users betwee...
There are inherent problems with evaluating the accuracy of recommender systems. Commonly-used metri...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Popularity is often included in experimental evaluation to provide a reference performance for a rec...
<p>The parameters are set as: for HHM; for GHHM; for WGHC; for uKNN; for iKNN.</p
<p>(A–C) Mean relative rank. (D–F) Precision at <i>L</i> = 20. Results are obtained by 10-fold cross...
<p>Results are mean (standard derivation) obtained by 10-fold cross-validation experiments on MovieL...
<p>Each test set corresponds to a split of the 100,000 ratings in the complete dataset into 80,000 o...
The aim of a recommender system is to suggest to the user certain products or services that most lik...
<p>(A) Mean relative rank. (B) Precision at <i>L</i> = 20. (C) Recall enhancement. (D) Hit-rate at <...
Transformed, cleaned dataset with reduced number of columns for all 45,000 movies listed in the full...
textabstractIn the evaluation of recommender systems, the quality of recommendations made by a newly...
This data relates to the paper "Position Bias in Recommender Systems for Digital Libraries". During ...
Recommender system evaluation usually focuses on the overall effectiveness of the algorithms, either...
This technical report contains all the measurements in the form of graphs that we conducted in our r...
Movielens 20M contains about 20 million rating records of 27,278 movies rated by 138493 users betwee...
There are inherent problems with evaluating the accuracy of recommender systems. Commonly-used metri...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Popularity is often included in experimental evaluation to provide a reference performance for a rec...
<p>The parameters are set as: for HHM; for GHHM; for WGHC; for uKNN; for iKNN.</p
<p>(A–C) Mean relative rank. (D–F) Precision at <i>L</i> = 20. Results are obtained by 10-fold cross...
<p>Results are mean (standard derivation) obtained by 10-fold cross-validation experiments on MovieL...
<p>Each test set corresponds to a split of the 100,000 ratings in the complete dataset into 80,000 o...
The aim of a recommender system is to suggest to the user certain products or services that most lik...
<p>(A) Mean relative rank. (B) Precision at <i>L</i> = 20. (C) Recall enhancement. (D) Hit-rate at <...
Transformed, cleaned dataset with reduced number of columns for all 45,000 movies listed in the full...
textabstractIn the evaluation of recommender systems, the quality of recommendations made by a newly...
This data relates to the paper "Position Bias in Recommender Systems for Digital Libraries". During ...
Recommender system evaluation usually focuses on the overall effectiveness of the algorithms, either...
This technical report contains all the measurements in the form of graphs that we conducted in our r...
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