%0 Conference Paper %1 Gantner:2011:MFR:2043932.2043989 %A Gantner, Zeno %A Rendle, Steffen %A Freudenthaler, Christoph %A Schmidt-Thieme, Lars %B Proceedings of the fifth ACM conference on Recommender systems %C New York, NY, USA %D 2011 %I ACM %K Engine MyMediaLite Rating Recommender %P 305--308 %R 10.1145/2043932.2043989 %T MyMediaLite: a free recommender system library %U http://doi.acm.org/10.1145/2043932.2043989 %X <i>MyMediaLite</i> is a fast and scalable, multi-purpose library of recommender system algorithms, aimed both at recommender system researchers and practitioners. It addresses two common scenarios in collaborative filtering: <i>rating prediction</i> (e.g. on a scale of 1 to 5 stars) and <i>item prediction from positive-only implicit feedback</i> (e.g. from clicks or purchase actions). The library offers state-of-the-art algorithms for those two tasks. Programs that expose most of the library's functionality, plus a GUI demo, are included in the package. Efficient data structures and a common API are used by the implemented algorithms, and may be used to implement further algorithms. The API also contains methods for real-time updates and loading/storing of already trained recommender models.</p> <p>MyMediaLite is free/open source software, distributed under the terms of the GNU General Public License (GPL). Its methods have been used in four different industrial field trials of the MyMedia project, including one trial involving over 50,000 households. %@ 978-1-4503-0683-6

@inproceedings{Gantner:2011:MFR:2043932.2043989, abstract = {<i>MyMediaLite</i> is a fast and scalable, multi-purpose library of recommender system algorithms, aimed both at recommender system researchers and practitioners. It addresses two common scenarios in collaborative filtering: <i>rating prediction</i> (e.g. on a scale of 1 to 5 stars) and <i>item prediction from positive-only implicit feedback</i> (e.g. from clicks or purchase actions). The library offers state-of-the-art algorithms for those two tasks. Programs that expose most of the library's functionality, plus a GUI demo, are included in the package. Efficient data structures and a common API are used by the implemented algorithms, and may be used to implement further algorithms. The API also contains methods for real-time updates and loading/storing of already trained recommender models.</p> <p>MyMediaLite is free/open source software, distributed under the terms of the GNU General Public License (GPL). Its methods have been used in four different industrial field trials of the MyMedia project, including one trial involving over 50,000 households.}, acmid = {2043989}, added-at = {2012-07-31T10:33:38.000+0200}, address = {New York, NY, USA}, author = {Gantner, Zeno and Rendle, Steffen and Freudenthaler, Christoph and Schmidt-Thieme, Lars}, biburl = {https://www.bibsonomy.org/bibtex/259401447c27a281cb96fd8509c999e2c/rennerc}, booktitle = {Proceedings of the fifth ACM conference on Recommender systems}, description = {MyMediaLite}, doi = {10.1145/2043932.2043989}, interhash = {1d45990cdf9def001b066987a66f3edb}, intrahash = {59401447c27a281cb96fd8509c999e2c}, isbn = {978-1-4503-0683-6}, keywords = {Engine MyMediaLite Rating Recommender}, location = {Chicago, Illinois, USA}, numpages = {4}, pages = {305--308}, publisher = {ACM}, series = {RecSys '11}, timestamp = {2012-07-31T10:33:39.000+0200}, title = {MyMediaLite: a free recommender system library}, url = {http://doi.acm.org/10.1145/2043932.2043989}, year = 2011 }