Weather Effect for Movie/Series Recommendations

When we are building a recommendation engine for movies and series, there was another very important metric rather than genre: Weather

We were trying to get a better recommendation engine for one of the IPTV/OTT companies that I was working for. We have already had one but it was so static and using static dimensions like movie/series genre, category, actors, actresses, etc. It was an OK-ish recommendation engine but I was aware that it was not enough to check these. Of course, if you are a crime-series-lover, you would like to see related ones but we need to think recommendation engine as a bucket. We should not fill 100% of the bucket with static recommendations.

I began to track myself. Nowadays, it is so popular like having a diary which also tracks your daily mood but in the experiment time, people were looking at me like I was an alien coming from Mars. I tracked my mood and what I am watching and listening to. There was no so big difference between music and movies/series so I thought that “Hmmm, let’s categorize it as media consumption”.

It was a bulb moment… When I searched the internet more on this, I saw that there is a theory: Mood Management Theory. I read everything that I could find about mood management…