Can i use fastai for context aware recommender system problem?
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?