MyMediaLite

This is mostly a bugfix release. The broken save/load mechanism was fixed for two recommenders. The Doxygen documentation, which was configured wrongly, was fixed.

BiasedMatrixFactorization now can optionally use the bold driver heuristics for learning rate adaptation. BPRMF has gotten a significant training speed-up. The command-line programs now use Mono.Options for command line parameter processing. There is now one program for each of the KDD Cup 2011 tracks. Further improvements were also made.

Version 1.0 features major changes in the API and in the way the ratings/user feedback is stored internally. This makes it feasible to load big datasets like the ones from KDD Cup 2011 into main memory. Extra code and a command-line program to handle the KDD Cup data are included, as well as some example Python scripts.

This release features a simple Gtk#-based demo of some of the library's functionality. Feedback and improvements are very welcome, as the authors are not GUI specialists (yet). SlopeOne is now much faster and consumes less memory. Some bugs in the online update functionality of the matrix factorization recommenders have been fixed. There is support for the MovieLens 1M/10M ratings format.

The command line tools now use reflection to automatically find all relevant recommenders. This means you do not have to modify the command line tools any more to use your newly implemented recommenders. The kNN-based methods are now faster and consume less memory because they take data sparsity better into account. A method for the diversification of result sets has been added to the experimental section of MyMediaLite. Some namespaces and types have been renamed to have nicer, more intuitive names.