babakx / mymedialite Goto Github PK
View Code? Open in Web Editor NEWThis project forked from zenogantner/mymedialite
recommender system library for the CLR (.NET)
Home Page: http://mymedialite.net
This project forked from zenogantner/mymedialite
recommender system library for the CLR (.NET)
Home Page: http://mymedialite.net
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). Feedback and Contributions -------------------------- We are always happy about feedback, and encourage MyMediaLite's users to contribute code to the project. Just fork it on GitHub and send pull requests! http://mymedialite.net/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 Installation ------------ See doc/Installation for installation instructions. Documentation ------------- See doc/ and the website for more documentation. Website ------- http://mymedialite.net http://twitter.com/mymedialite 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 a publication that uses this software, so we can list it on MyMediaLite's website: Just send an e-mail to [email protected] Contributors ------------ Thanks to the following people, who provided valuable feedback, code, or other kinds of assistance: Roberto Abalde, Nicholas Ampazis, Thorsten Angermann, Suhrid Balakrishnan, Alejandro Bellogín, Christian Brauch, Fu Changhong, Subramanyeshwar Cherukuri, Simon Dooms, Lucas Drumond, Michael Ekstrand, Christoph Freudenthaler, Zeno Gantner, Jagadeesh Gorla, Josif Grabocka, Mark Graus, Guibing Guo, Andreas Hoffmann, Tomas Horvath, Kenneth Hoste, Frantisek Hrdina, Jia Huang, Nicolas Hug, KwangSeob Kim, Dietmar Jannach, Peng Jiang, Artus Krohn-Grimberghe, Tobias Lang, Christina Lichtenthäler, Damir Logar, Marcelo Manzato, Brian McFee, Greg Najda, Chris Newell, Thai-Nghe Nguyen, Dimitris Paraschakis, Simon Renaud, Steffen Rendle, Marco Ribeiro, Roland Richter, Saurabh S., Sebastian Schelter, Lars Schmidt-Thieme, Yue Shi, Jessica Tölke, Tom Tung, Pieter-Jan Verbruggen, Elvio Vicosa, João Vinagre, Oleksandr Vitvitskyi, Yongfeng Wang, Lina Weichbrodt, Cees Wesseling, Yong Zheng, GitHub user jkleint. 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) 2010, 2011, 2012, 2013, 2015, 2016 The MyMediaLite contributors 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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.