%0 Conference Paper %1 dominguezgarcia2012freset %A Dom\'ınguez Garc\'ıa, Renato %A Bender, Matthias %A Anjorin, Mojisola %A Rensing, Christoph %A Steinmetz, Ralf %B Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web %C New York, NY, USA %D 2012 %I ACM %K evaluation folksonomy framework freset %P 25--28 %R 10.1145/2365934.2365939 %T FReSET: an evaluation framework for folksonomy-based recommender systems %U http://doi.acm.org/10.1145/2365934.2365939 %X FReSET is a new recommender systems evaluation framework aiming to support research on folksonomy-based recommender systems. It provides interfaces for the implementation of folksonomy-based recommender systems and supports the consistent and reproducible offline evaluations on historical data. Unlike other recommender systems framework projects, the emphasis here is on providing a flexible framework allowing users to implement their own folksonomy-based recommender algorithms and pre-processing filtering methods rather than just providing a collection of collaborative filtering implementations. FReSET includes a graphical interface for result visualization and different cross-validation implementations to complement the basic functionality. %@ 978-1-4503-1638-5

@inproceedings{dominguezgarcia2012freset, abstract = {FReSET is a new recommender systems evaluation framework aiming to support research on folksonomy-based recommender systems. It provides interfaces for the implementation of folksonomy-based recommender systems and supports the consistent and reproducible offline evaluations on historical data. Unlike other recommender systems framework projects, the emphasis here is on providing a flexible framework allowing users to implement their own folksonomy-based recommender algorithms and pre-processing filtering methods rather than just providing a collection of collaborative filtering implementations. FReSET includes a graphical interface for result visualization and different cross-validation implementations to complement the basic functionality.}, acmid = {2365939}, added-at = {2013-01-22T10:16:39.000+0100}, address = {New York, NY, USA}, author = {Dom\'{\i}nguez Garc\'{\i}a, Renato and Bender, Matthias and Anjorin, Mojisola and Rensing, Christoph and Steinmetz, Ralf}, biburl = {https://www.bibsonomy.org/bibtex/2c78b033eb1b463ff00c4fc67ed8bf679/sdo}, booktitle = {Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web}, description = {FReSET}, doi = {10.1145/2365934.2365939}, interhash = {489207308b5d7f064163652763794ce6}, intrahash = {c78b033eb1b463ff00c4fc67ed8bf679}, isbn = {978-1-4503-1638-5}, keywords = {evaluation folksonomy framework freset}, location = {Dublin, Ireland}, numpages = {4}, pages = {25--28}, publisher = {ACM}, series = {RSWeb '12}, timestamp = {2013-01-22T10:16:40.000+0100}, title = {FReSET: an evaluation framework for folksonomy-based recommender systems}, url = {http://doi.acm.org/10.1145/2365934.2365939}, year = 2012 }