> A quick test would be to consider two clicks to be required as a measure of > interest. My guess is that your data will suddenly become too sparse to > use.
Can you quantify this? Lets say a recommender system has n users and m items. Is it possible con conclude, how much data (ratings) you need to run recommendations? Are there any rough estimations for judging the sparsity of the data? 2010/7/28 Ted Dunning <[email protected]>: > On Wed, Jul 28, 2010 at 12:53 PM, Simon Reavely > <[email protected]>wrote: > >> However, since I have no idea how significant extra clicks are I think this >> is a good one to start with. >> > > To 0-th order, they aren't. :-) > > >> >> With more work I'll try to evaluate the quality of that measure (number of >> clicks) and look for others that could be better indications of preference. >> > > A quick test would be to consider two clicks to be required as a measure of > interest. My guess is that your data will suddenly become too sparse to > use. > -- --
