Blog Archive: 2011

Recommendations needed

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In one of our research projects, we are trying to compare some alternative algorithms for generating recommendations based on content similarity. As you might expect, we have some data we’re playing with, but the data is noisy and sometimes it’s hard to make sense of the variability: is it due to noise in the data, or is the algorithm trying to tell us something?

So my thought was to break the problem into two parts: first deal with our algorithms on known data, and then apply the results to the new, noisy data to see what’s there. My purpose in writing this post is to solicit suggestions about which publicly-available data we should be using.

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