Hello Sir Ryan Curtin and Sumedh Ghaisas, I read about archives in mailing list so I firstly decided to build mlpack library and I had compile mlpack tutorial programs and now I am comfortable with it.Thanks for helping in completing my first step. I am Third Year B.Tech student CS Undergraduate from Vishwakarma Institute of Technology,Pune.I am an active C,C++ coder for many years now. I am currently studying Recommender Systems and I want to explore it lot by learning new optimization methods and by implementing it.However, while it is possible for me to improve my knowledge of recommender system on the side while studying machine learning (most of my recommender system was self-taught anyway).I’ve always had a passion for both programming and mathematics. So I want to move towards the second step to solve bug please direct me how to proceed toward it
I'm interesrted in Alternatives to neighborhood-based collaborative filtering I read about the paper attached on the site. Even I read the matrix factorization method of Amazon and Netflix which they used and understood it. The reference material I read uptill now is =>The given paper =>Slideshare giving a brief idea about matrix factorization https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&cad=rja&uact=8&ved=0ahUKEwjspY2ngK_LAhXOTI4KHU5NC8kQFgg8MAQ&url=http%3A%2F%2Fwww.slideshare.net%2Fstudentalei%2Fmatrix-factorization-techniques-for-recommender-systems&usg=AFQjCNEtwt1uY6UqtIRV595sg9KSkCX2vg&sig2=OWdhVM1sjWXiSRw10VaCGA&bvm=bv.116274245,d.c2E =>Matrix Factorization Techniques for Recommender Systems By Yehuda Koren, Yahoo Research Robert Bell and Chris Volinsky, AT&T Labs—Research Please recommend what literature should i read and what type of bugs should i solve in this topic Thanking You _______________________________________________ mlpack mailing list [email protected] https://mailman.cc.gatech.edu/mailman/listinfo/mlpack
