Hello Yogesh, Thanks for getting in touch. If you are looking for how to get started, these two pages may be helpful:
http://www.mlpack.org/gsoc.html http://www.mlpack.org/involved.html In addition, it might be a good idea to take a look at the list archives for previous posts about this project: http://lists.mlpack.org/pipermail/mlpack/ Here are two posts that should be helpful: http://knife.lugatgt.org/pipermail/mlpack/2016-March/002591.html http://knife.lugatgt.org/pipermail/mlpack/2016-March/002578.html Thanks, Marcus > On 18. Mar 2018, at 02:35, yogesh sharma <yogesh.sharmaakaru...@gmail.com> > wrote: > > Hi, > > My name is Yogesh Sharma. I am a 3rd-year student pursuing a dual degree in > Computer science with masters in Robotics from IIIT Hyderabad, India. > > I have been looking at all the ideas specified in the wiki from past few > days. I find implementing "Alternatives to neighborhood-based collaborative > filtering" a good learning opportunity. > > I have done GSoC last year under Oppia <https://github.com/oppia/oppia>. I > work in Robotics lab and took a course on Statistical Methods in AI, the last > semester. So, I have an understanding of major Machine learning algorithms > and how content-based filtering and collaborative filtering are used in > recommender systems. > > I am reading a survey paper on Collaborative Filtering Algorithms as we want > to implement Matrix Factorization based CF algorithms. > > Since I am very late to start, it would be great if I can get some advice on > how to move forward. > > Should I get familiar with codebase first or should I start with reading > various applicable methods? And any other specific advice as I move in to > research more on the topic. > > Thanks, > Yogesh > > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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