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Fix #88
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Have a think about what this means. What this is saying is, that for these movies, even when a user is very well matched to its latent factors (which, as we will see in a moment, tend to represent things like level of action, age of movie, and so forth) they still generally don't like it. We could have simply sorted movies directly by the average rating, but looking at their learned bias tells us something much more interesting. It tells us not just whether a movie is of a kind that people tend not to enjoy watching, but that people type like watching it even if it is of a kind that they would otherwise enjoy! By the same token, here are the movies with the highest bias:"
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"Have a think about what this means. What this is saying is, that for these movies, even when a user is very well matched to its latent factors (which, as we will see in a moment, tend to represent things like level of action, age of movie, and so forth) they still generally don't like it. We could have simply sorted movies directly by the average rating, but looking at their learned bias tells us something much more interesting. It tells us not just whether a movie is of a kind that people tend not to enjoy watching, but that people type do not like watching it even if it is of a kind that they would otherwise enjoy! By the same token, here are the movies with the highest bias:"
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]
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},
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{
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