I did not notice GID. For movies; Criticker TasteKid and Listal used to.
They mess up the algorithms. A half range (30 p) difference from the publication pretty much guarantees the publication will not be in the top 10.
It is better than nothing. If there does not exist a publication...
And how could it be possible to decide objectively which of the 5 (or 10) methods above is the correct outlier identifier? I read the literature. There is no common professional consensus. http://strategywiki.org/wiki/Darwinia/Walkthrough
I have been working on a project to help users find publications with similar opinions. Outliers (technically defined as observations made by systems different than the rest of the data) can throw the algorithms off and the greater they are the greater the throwing. So an outlier for my...
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