3 ms·

Why take someone's word for what they like or don't like when you know what they actually watch?

iforgotpassword 8y ago
How do you know a user liked a movie or TV show after watching it? I think a movie has to be really really bad for people to actually stop halfway through. For TV shows it might be more likely that people drop out after a couple episodes but if it's just "meh" or the show's finale was disappointing, how do your algorithms know?
- always_good 8y ago
  Once you can analyze all the things someone watches and all the views on a single video, then it's not particularly useful to know if this one person liked this one video. I'm not sure how much it matters how good each episode of a tv show is. Do you look up the rating of each subsequent episode before you watch it? If most people in your cohort were hooked enough for 5 episodes before tapering off, then certainly that's a tv show you may want to see. Also, if everyone was interested enough to sit through something even though most people would say the payoff sucked, as opposed to bailing on the video early on, then I'm not convinced it's much different from a movie that people sat through and particularly liked when it comes to recommendation. So people enjoyed 75/90min instead the full 90/90min, not very damning.
- bastijn 8y ago
  They won't watch the next show in the same category or series. Or the next. Seeing one 'meh' to the end is one thing, seeing two to the end is unlikely, seeing three and they are lying in their comments. I fact I believe minutes watched are more accurate than ratings. Very few people take time to rate, and of that category even less rate properly for algorithms to make sense. Still, they could have left it in and just collect the data. Even if for providing a false sense/feeling of choice and ownership in the matter ;).
- tomrod 8y ago
  They not only know what you watch, but know which parts you re-watch.
- jobigoud 8y ago
  When I find a TV show "meh", I usually jump from episode 3-4 to season finale to get closure. I wonder if others do this.
dictum 8y ago
That's how we got the hate read content economy.

How do you know a user liked a movie or TV show after watching it? I think a movie has to be really really bad for people to actually stop halfway through. For TV shows it might be more likely that people drop out after a couple episodes but if it's just "meh" or the show's finale was disappointing, how do your algorithms know?

always_good 8y ago
Once you can analyze all the things someone watches and all the views on a single video, then it's not particularly useful to know if this one person liked this one video. I'm not sure how much it matters how good each episode of a tv show is. Do you look up the rating of each subsequent episode before you watch it? If most people in your cohort were hooked enough for 5 episodes before tapering off, then certainly that's a tv show you may want to see. Also, if everyone was interested enough to sit through something even though most people would say the payoff sucked, as opposed to bailing on the video early on, then I'm not convinced it's much different from a movie that people sat through and particularly liked when it comes to recommendation. So people enjoyed 75/90min instead the full 90/90min, not very damning.
bastijn 8y ago
They won't watch the next show in the same category or series. Or the next. Seeing one 'meh' to the end is one thing, seeing two to the end is unlikely, seeing three and they are lying in their comments. I fact I believe minutes watched are more accurate than ratings. Very few people take time to rate, and of that category even less rate properly for algorithms to make sense. Still, they could have left it in and just collect the data. Even if for providing a false sense/feeling of choice and ownership in the matter ;).
tomrod 8y ago
They not only know what you watch, but know which parts you re-watch.
jobigoud 8y ago
When I find a TV show "meh", I usually jump from episode 3-4 to season finale to get closure. I wonder if others do this.

dictum 8y ago

That's how we got the hate read content economy.