We need a basic item-to-item collaborative filtering based recommendation engine for video views. You could use one of the existing open source tools like Weka or build something from scratch. We are looking for a basic version with basic clustering based on number of views (and no other parameter) - we will add boundary conditions and other customizations per our requirements later - but at this point looking for the bare-bones basic implementation of an item-to-item collaborative filtering based recommendation engine.
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I'm a machine learning & data mining researcher. I'm ready to start implementing a scalable and accurate recommendation engine using collaborative filtering method.
I can use Weka and verify results with Microsoft SQL Server. I need the data to see if correleations between data exist to estimate the feasibility of the project before starting it.
My MSC project is on improving Memory-based CF. know I have its implementation on C#, R and Rapidminer. but developing on another language is possible as you need.