Using CARSKit with implicit feedback about carskit HOT 3 CLOSED

Sounds good.

But unfortunately, we do not know which algorithm will perform the best by given a data. You have to try multiple algorithms to find the best one.

Based on my experience, if you'd like to see a good results on top-N recommendations, you can try SLIM based approach or CAMF_ICS, CAMF_MCS, CAMF_LCS. For SLIM-based approach, you need to carefully to find the optimal parameters. CAMF_ICS works good in most cases, CAMF_MCS can work even better if you carefully tune up the parameters.

In terms of the hybrid filtering approach like DCR/DCW/BPSO, you cannot try BPR, they were built based on the user-based collaborative filtering.

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Thank you very much for your response!

My problem is that I have implicit feedback so my rating matrix has only values 0 and 1.
Because of this I cannot use algorithms like CAMF and some other context-aware algorithms, I think.

I read about that CSLIM might be able to handle this type of implicit feedback. Do you have experience with such cases?

Many thanks in advance :)

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