Context-aware collaborative filtering

Okay kiddo, have you ever seen suggested videos or movies on Netflix or YouTube that seem to be just what you would like?

That happens because these platforms use something called collaborative filtering. This means that they analyze the preferences of many other people who watched or liked the same things you did, and suggest new things based on that.

But imagine that you are in a certain mood or situation, like a rainy day or a party with friends. Would you like to see the same things you normally watch or listen to? Probably not!

That's where context-awareness comes in. It means that the system takes into account not only your general preferences, but also the specific circumstances or context in which you are using it.

So, if it's a rainy day, the system might suggest cozy movies or comfort food recipes instead of action movies or workout videos. Or if you're having a party, it might suggest upbeat music and party games instead of slow documentaries or educational lectures.

The idea is to make the system more personalized and relevant to your current needs and desires. It's like having a robot friend who knows exactly what you want, even if you didn't think about it yourself!