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by Someone
186 days ago
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When given a 5-star choice “very bad/bad/ok-ish/good/very good”, I rarely pick one of the extremes. I suspect there are others who rarely click “bad” or “good”. Because of that, I think you first need to train a model on scaling each user’s judgments to a common unit. That likely won’t work well for users that you have little data on. So, it’s quite possible that a ML model trained on a 3-way choice “very bad or bad/OK-ish/good or very good” won’t do much worse than on given the full 5-way choice. I think it also is likely that users will be less likely to click on a question the more choices you give them (that certainly is the case if the number of choices gets very high as in having to separately rate a movie’s acting, scenery, plot, etc) Combined, that may mean given users less choice leads to better recommendations. I’m sure Netflix has looked at their data well and knows more about that, though. |
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