Welcome to the project Steven!! On Fri, May 20, 2016 at 10:07 AM, Steven NASa <cj.n...@gmail.com> wrote:
> Hi Folk & Masters, > > My name is *NASa*. I am now working for an e-commerce B2C company in China, > dealing with Transaction Process development in C++ & Java on Linux > environment. > > As you know, *Recommender System* is quite valuable and important to an > e-commerce online shopping website like Amazon. I was told and required to > design and implement a Recommender System which can bring some value to my > Company. Our System is based on C++ codes. So I was searching for an robust > Machine Learning framework in C++ which can help me to easily implement a > Recommender System. I did not find any one which can satisfy my > requirements, but only some C++ math libraries. > > Our system is based on an internal distributed frameworks like RPC and DB > access on Linux environment based on C++ programming language. But I find > it is really inconvenient to implement a Recommender System in C++ from > zero without distributed computing library supporting, like > implementing *Collaborative > Filtering* with SVD in a distributed computing way. So I am trying to find > a framework/library with is designed based on Distributed-System. There I > come to *Mahout*. > > I wish I can build a library that can help people easily and quickly build > up a Recommender System based on Distributed System and also use the > Machine Learning Algorithms in distributed way. Apache has many amazing > projects which can help people to build up robust distributed system > easily. So I am moving to using “Java” environment. > > I am new to *Mahout* and *Hadoop*, *Spark*, *Scala* and I learned Andrew > Ng’s “Machine Learning” from Coursera > <https://www.coursera.org/learn/machine-learning/home/welcome>. So I have > the basic knowledge of Machine Learning, and now I am keeping forward to > *Deep > Learning* and *Convex Optimization*, some other Mathematical Optimization > implementation. I am now still learning and getting famiIiar with Mahout. I > hope I can contribute some codes to Mahout in the early future with > learning by coding and coding by learning. > NASa 2016/05/20 > >
