Context aware recommender system

Can i use fastai for context aware recommender system problem?

I have this dataset

So like in the lesson 4 we have an example of collaborative filtering with userid and movieid and rating for each combination.
However in the ‘context-aware’ dataset above. Which is for music recommendation depending on context i have more ‘features’ like: userid, itemid, rating, drivingstyle, landscape, mood, naturalphenomena, roadtype, sleepiness, trafficcondition and weather.

For example user A may give score 4 to song X in the morning but socre 2 for the same song in the evening, etc.

Is fasti supporting such a problem?


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I have been curious of passing categorical variables as well to some collaborative filtering.