3 ms·
> It's not that the algo is any worse than human recommendations, it's just that it's an average of all humans likes, which will never fit your exact personal u
by AdmiralAsshat 4y ago
> It's not that the algo is any worse than human recommendations, it's just that it's an average of all humans likes, which will never fit your exact personal unique preferences because they aren't you.
But that is a difference though, because humans possess empathy: algorithms don't. Step away from music for a second and consider movies: if all your algorithm does is recommend movies because Person X likes Movies 1, 2, and 3, it will take many layers of metadata tagging before the algorithm figures out that it shouldn't recommend Movie 2 to Person Y (even if Movie 2 is a star-studded, Oscar-winning classic), while a human being could probably spend 30 seconds looking at Person Y's viewing history and realize, "Ah, this person has very few action movies and zero horror movies in their viewing history; they probably don't like violence. I would not recommend they watch Movie 2."
- nemo44x 4y agoThat’s not really true at all. Graph algorithms can look at the movies you like and find other people that have uncommonly common movie likes as well and find a movie to recommend based on this. You avoid just recommending movies that are generally popular across all users. For instance, if someone likes “”Caddy Shack” it isn’t too difficult to recommend “Space Balls” for example and not “Schindlers List”, even though everyone likes that movie. But “Space Balls” would stick out amongst the population of people that like “Caddy Shack” vs the population as a whole. No meta data is required. Just preferences over a large set of users.