Ted - I read your blog post and the paper you refer to/wrote and several other
authors that sited your paper, but I am having trouble with the overall
approach for putting all the pieces together. Would you mind giving me a nudge
with the intuition? I realize you have been doing this for
Yes. Since each transaction contains several items, you might as well call
that a row in the history matrix and go from there to cooccurrence analysis
or matrix factorization (cooccurrence is easier and just as accurate if you
have enough data).
As Rachel mentions, you also can sometimes string
Tim,
Can you be more specific about which bits are missing?
Is it about the rationale for the log-likelihood ratio test? If so, that
rationale is simply that the algorithm is simple and empirically has been
shown to produce excellent results across a large array of applications
(over a thousand
Is it about how to arrange your data to use this computation? The
references below might help with that.
Yes, I read and tried the recommendation examples from MIA and there is a
mention of item to item similarity, but I am not sure what form the file should
take. The examples are along the
