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
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