Predicting Movie Preferences
نویسنده
چکیده
Accurately predicting customer preferences is a highly sought after goal, for it allows businesses to market a product to individuals in a way that is most likely to generate a sale. This can be particularly important in the movie industry, where individual preferences can vary greatly. Recognizing this, the online movie rental business Netflix has sponsored a contest to find better ways of making these kind of predictions. Specifically, the problem is as follows. For a given customer and a given movie, predict how that customer would rate the movie on a 1-5 scale, using information on how that customer has previously rated other movies, and other customer ratings. More formally we wish to estimate
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