So the method I chose was mapping and intersecting.
What happens is that for each day of the week, time, and mood, there are genres that fit most with these times, according to general data I had found from various articles over time.
I then get the users selected inputs and lay out all the genres. I see if there are any intersections/patterns in all 3 and if so, I store that for use to find movies. If there are no common genres, I map only the mood to the day then the mood to the time, as I think mood is the most powerful factor, and see intersections there and store them.
Then it's just a simple search for movies of that genre with the provider and that's all.
If you have any further questions feel free to ask.
What happens is that for each day of the week, time, and mood, there are genres that fit most with these times, according to general data I had found from various articles over time.
I then get the users selected inputs and lay out all the genres. I see if there are any intersections/patterns in all 3 and if so, I store that for use to find movies. If there are no common genres, I map only the mood to the day then the mood to the time, as I think mood is the most powerful factor, and see intersections there and store them.
Then it's just a simple search for movies of that genre with the provider and that's all.
If you have any further questions feel free to ask.