Hi, and welcome. On Mon, Apr 08, 2013 at 02:40:45AM +0000, YanChunwei wrote: > I have an idea, to implement a new algorithm for scikit-learn, the > Feature-Based Matrix Factorization (FBMF). It is powerful and should have a > long-term application in the field of Collaborative Filter.
As already mentionned on the mailing list (I believe in the context of GSOC), I would be excited with the idea of having recommender systems and collaborative filtering in scikit-learn. However, before implementing fancy algorithms, the most basic approaches for recommender systems should be coded, an API should be defined, and examples made. That inn itself would be a good base for a GSOC, but for the proposal to be credible, the student should show some ability to API design and end-user problem solving, in addition to algorithmic skills. Gaël ------------------------------------------------------------------------------ Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
