On Fri, Jun 19, 2009 at 8:40 AM, Grant Ingersoll<[email protected]> wrote: > I don't know, "Programming Collective Intelligence" (page 17) seems to > suggest transposing as being pretty useful for product-product suggestions. > I suppose, however, that it really is just getting the neighborhood then > and not going the extra step of getting items (er users in this case). > > The main cost is in having a second model in memory, I suppose.
Yes, I mean, it works. I think they were showing this approach for simplicity and brevity. By turning a user-based recommender on its side you kind of get an item-based recommender, which is computing item-item similarities under the hood, and indeed that is the basis of what you want. My suggestion a) just goes straight to that.
