[mlpack] GSOC 2016 Contribute to MLPACK
Divyam Khandelwal
khandelwal.divyam at gmail.com
Tue Mar 8 01:07:40 EST 2016
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
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