How do you use the Ratings to teach the Recommendations (Top Picks) Algorithm
Seems like I have destroyed any value in the recommendations engine, due to trying to improve it, by rating some of the recommendations. ie, like you would teach the watchworthy app.
I rated some older crime TV shows at a rating that was suitable at the time, eg, I rated a 30 yr old show perhaps a 7. Now, ALL the recommendations are for crime and comedy shows from 20-30 years ago ... pretty useless.
The algorithm seems to value ...
1. Because you watched this, then ....
BUT, there is no option to say I DIDN'T watch it and HAVE NO INTEREST in EVER watching it.
2. Rating of 7 seems to indicate you like this ...
WRONG! I liked it AT THE TIME. If I was rating it to indicate my preferences to wishing to watch similar shows NOW, then I would rate it only 1.
Anyone got any ideas how to use the rating system to get meaningful recommendations. Black box stuff is useless - valuable IP, my arse :) - no feedback or iteration = no improvement.
If nothing else, some sort of steer about the algorithm would be REALLY useful from IMDB, because at present, it's pretty useless.