I am working on github contest with
Daniel Haran. Unlike NetflixPrize, the github contest is a Top-K resys task. I think, it is another important task in recommender system.
Let's take movie recommender system for example. When we design a movie resys, we meet two problems:
1) Given a user, we should find which movies he/she will watch. That is finding a candidate movies set.
2) In the candidate set, we should find which movies this user will like after watching.
I think, the first task is top-k recommendation task (GitHub) and the second task is prediction task (NetflixPrize).
Solving two above tasks is the fundanmental of design good recommender system.
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