%0 Conference Paper %1 Matuszyk:2014:PPC:2611040.2611054 %A Matuszyk, Pawel %A Spiliopoulou, Myra %B Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) %C New York, NY, USA %D 2014 %I ACM %K kmd recsys %P 38:1--38:6 %R 10.1145/2611040.2611054 %T Predicting the Performance of Collaborative Filtering Algorithms %U http://doi.acm.org/10.1145/2611040.2611054 %X Collaborative Filtering algorithms are widely used in recommendation engines, but their performance varies widely. How to predict whether collaborative filtering is appropriate for a specific recommendation environment without running the algorithm on the dataset, nor designing experiments? We propose a method that estimates the expected performance of CF algorithms by analysing only the dataset statistics. In particular, we introduce measures that quantify the dataset properties with respect to user co-ratings, and we show that these measures predict the performance of collaborative filtering on the dataset, when trained on a small number of benchmark datasets. %@ 978-1-4503-2538-7

@inproceedings{Matuszyk:2014:PPC:2611040.2611054, abstract = {Collaborative Filtering algorithms are widely used in recommendation engines, but their performance varies widely. How to predict whether collaborative filtering is appropriate for a specific recommendation environment without running the algorithm on the dataset, nor designing experiments? We propose a method that estimates the expected performance of CF algorithms by analysing only the dataset statistics. In particular, we introduce measures that quantify the dataset properties with respect to user co-ratings, and we show that these measures predict the performance of collaborative filtering on the dataset, when trained on a small number of benchmark datasets.}, acmid = {2611054}, added-at = {2014-06-20T11:57:09.000+0200}, address = {New York, NY, USA}, articleno = {38}, author = {Matuszyk, Pawel and Spiliopoulou, Myra}, biburl = {https://www.bibsonomy.org/bibtex/2fa10c51811cc7b8ad8d7c41f0c0ad32f/kmd-ovgu}, booktitle = {Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)}, doi = {10.1145/2611040.2611054}, interhash = {8d8d6b49d7b4ae2d7b8c80c32d1cd517}, intrahash = {fa10c51811cc7b8ad8d7c41f0c0ad32f}, isbn = {978-1-4503-2538-7}, keywords = {kmd recsys}, location = {Thessaloniki, Greece}, numpages = {6}, pages = {38:1--38:6}, publisher = {ACM}, series = {WIMS '14}, timestamp = {2014-09-04T16:11:36.000+0200}, title = {Predicting the Performance of Collaborative Filtering Algorithms}, url = {http://doi.acm.org/10.1145/2611040.2611054}, year = 2014 }