> 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 lines of userid,itemid,value
In section 6.2 of MIA we are multiplying the Co-occur matrix X User
preferences = Recommendations (top of page 97), so if I do not have preferences
should
I just default them all to the same value? Taken together with your previous
comments, is this how I should be preparing my data?
Raw Sample Data (format: Transaction|Item)
123|Sun Glasses
124|Sun Glasses
124|Sun Glass Case
125|Sun Glass Case
126|Sun Glasses
126|Glass Repair Kit
127|Glass Repair Kit
Are you suggesting that I just simply use (format: userid|item|value)
123|Sun Glasses|1
124|Sun Glasses|1
124|Sun Glass Case|1
125|Sun Glass Case|1
126|Sun Glasses|1
126|Glass Repair Kit|1
127|Glass Repair Kit|1
> Is it regarding the specifics of how you do the computation? I can help
> with that, but would need a pointer to the difficulty.
Not quite yet. I am working through the intuition first, I'll fight through
the math once, if ever, the fog clears
