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lightweight, multi-purpose library of recommender system algorithms
mvreg/MyMediaLite
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MyMediaLite - a recommender system algorithm library Features -------- - Choice: - Dozens of different recommendation methods, - methods can use collaborative, attribute/content, and relational data, - support for incremental training for most models. - Ready to use: - Includes evaluation routines for rating and item prediction; quality measures MAE, NAME, RMSE, CBD, AUC, MAP, precision@N, recall@N, NDCG, MRR; and - command line tools that read a simple text-based input format. - Compactness: Core library is about 275 KB "big". - Portability: Written in C#, for the .NET platform; runs on every architecture where Mono works: Linux, Windows, Mac OS X. - Freedom: Free/Open Source software, distributed under the terms of the GNU General Public License (GPL). Installation ------------ See doc/Installation for installation instructions. Documentation ------------- See doc/ and the website for more documentation. Website ------- http://ismll.de/mymedialite Feedback and Contributions -------------------------- We are always happy about feedback, and encourage MyMediaLite's users to contribute code to the project. http://ismll.de/mymedialite/contribute.html Bugs and feature requests can be reported on our mailing list or in our issue tracker: https://groups.google.com/group/mymedialite https://github.com/zenogantner/MyMediaLite/issues Citing MyMediaLite ------------------ If you use MyMediaLite for your research, it would be nice to acknowledge it in your papers by citing the following paper: Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme: MyMediaLite: A Free Recommender System Library. RecSys 2011 @inproceedings{Gantner2011MyMediaLite, author = {Zeno Gantner and Steffen Rendle and Christoph Freudenthaler and Lars Schmidt-Thieme}, title = {{MyMediaLite}: A Free Recommender System Library}, booktitle = {5th ACM International Conference on Recommender Systems (RecSys 2011)}, year = 2011, location = {Chicago, USA} } Please inform us about if you have publication that uses this software, so we can list it on MyMediaLite's website. Acknowledgements ---------------- Thanks go to the following people, who provided valuable feedback about MyMediaLite: Nicholas Ampazis, Thorsten Angermann, Suhrid Balakrishnan, Alejandro Bellogín, Christian Brauch, Fu Changhong, Subramanyeshwar Cherukuri, Simon Dooms, Lucas Drumond, Jagadeesh Gorla, Andreas Hoffmann, Tomas Horvath, Kenneth Hoste, Frantisek Hrdina, Artus Krohn-Grimberghe, Christina Lichtenthäler, Damir Logar, Brian McFee, Greg Najda, Chris Newell, Thai-Nghe Nguyen, Simon Renaud, Marco Ribeiro, Saurabh S., Sebastian Schelter, Yue Shi, Tom Tung, Yongfeng Wang This work was funded by the European Commission FP7 project MyMedia (Dynamic Personalization of Multimedia, http://www.mymediaproject.org/) under the grant agreement no. 215006. Copyright & Licensing --------------------- Copyright (C) 2011, 2012 Zeno Gantner Copyright (C) 2010 Zeno Gantner, Steffen Rendle, Christoph Freudenthaler MyMediaLite is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. MyMediaLite is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with MyMediaLite. If not, see <http://www.gnu.org/licenses/>. ---- This package contains Mono.Options, C5, the Math.NET Numerics library, a C# port of LIBSVM, and NUnit. The original packages can be found here: http://www.itu.dk/research/c5/ http://numerics.mathdotnet.com http://www.csie.ntu.edu.tw/~cjlin/libsvm/ http://www.matthewajohnson.org/software/svm.html http://www.nunit.org See doc/ComponentLicenses for more information about their licensing terms.
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lightweight, multi-purpose library of recommender system algorithms
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