Non-negative matrix factorization would be a good addition; if you can include tests with your pull request it will help.
Assuming this is your PR: https://github.com/apache/mahout/pull/70 Looking forward to more. > On Jan 9, 2015, at 11:21 PM, 梁明强 <[email protected]> wrote: > > Dear sir, > > Here is Liang Mingqiang, an undergraduate student, highly interested in > Recommender System and Mahout. I have implete Non-negative Matrix > Factorization(NMF) and Probabilistic Matrix Factorization(PMF) method and > pull request my code for further comment. > > I test my code on my computer using movielens dataset and get reasonable > result. Do I need to write and submit a test module for my code. Just because > I need dataset for my test, can I add some text files in the test package? > > In addition, Binary Matrix Factorization seems(BMF) very interesting, I want > contribute my BMF code for Mahout in the next step. > > Last, but not least, Minhash and SimHash are very popular and useful methods > in Recommender System. But I look through the source code of Mahout, there > seems no Minhash and SimHash method. Does it mean those methods haven't been > contributed or just because I haven't check the source code carefully. If > those two methods have benn contributed, is there anyone willing to tell me > the path. Thank you! > > > Looking forward, > ---- > Liang Mingqiang
