Data from Yelp's Dataset Challenge

Re:Data from Yelp's Dataset Challenge by minimaxir on Thursday August 28, 2014 @02:53PM (#8238993)

> 3. Instead of taking the number of stars typically presented on a business (1.0, 1.5, 2.0, etc.), we grabbed an average from Yelp's dataset of reviews for each of these businesses, so you end up having businesses with ratings like 1.37 or 3.22.

I don't believe that derivation is equivalent.

From my own tabulation of the data:

# of reviews in Yelp's reviews dataset: 1,125,458 reviews

# sum reviews among all reviews for businesses in Yelp's business dataset: 1,236,445 reviews

So the aggregate will fail to account for about 10% of the rating data.

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Re:Data from Yelp's Dataset Challenge by glaugh on Thursday August 28, 2014 @03:01PM (#8239065)

There's definitely some inconsistency here.

An even larger issue is probably that the way Yelp calculates ratings for a business isn't a straight average, it involves a notion of a prior expectation. I'd go into more detail here but I'm struggling to find the (I think official?) URL talking about this.

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