On Wed, Oct 9, 2013 at 12:54 PM, Michael Sokolov < msoko...@safaribooksonline.com> wrote:
> It sounds like you are doing item-item similarities for recommendations, >> not actually calculating user-history based recs, is that true? >> > Yes that's true so far. Our recommender system has the ability to provide > recs based on user history, but we have not deployed this in our app yet. > My plan was simply to query based on all the items in the user's "basket" > - not sure that this would require a different back end? We're not at the > moment considering user-user similarity measures. The items in the basket really are kind of a history (a history of hte items placed in the basket). It is quite reasonable to use those as a query against indicator fields. It would be nice to generate indicators (aka binarized item-item LLR similarities) from a number of different actions such as view, dwell, scroll, add-to-basket and see which ones or which combos give you the best recommendation.
