Not sure what you mean “taking into account” What is the primary indicator of user behavior? What is your conversion, the behavior you want to increase? For E-Com it is “buy” but for other apps it may be watch, read, like, etc This is the first thing you must record because it is the essence of collaborative filtering, even for item similarity. User behavior if the key thing to look at in determining item similarity. Then you can apply business rules to narrow down an item based or item-set based query using item properties like city & size_in_sqf.
Are views your conversions? For E-Com views do not predict sales/buys very well. From: Amit Assaraf <notificati...@github.com> <notificati...@github.com> Reply: actionml/universal-recommender <reply+0004fc4b2bd051b2e479a241e10a3b326dfae61eba8cc1fe92cf000000011750f97592a169ce141b0...@reply.github.com> <reply+0004fc4b2bd051b2e479a241e10a3b326dfae61eba8cc1fe92cf000000011750f97592a169ce141b0...@reply.github.com> Date: July 1, 2018 at 1:20:06 PM To: actionml/universal-recommender <universal-recommen...@noreply.github.com> <universal-recommen...@noreply.github.com> Cc: Subscribed <subscri...@noreply.github.com> <subscri...@noreply.github.com> Subject: Re: [actionml/universal-recommender] Use properties for recommendation other than categorial? (#54) This can be simplified by ignoring the user viewed part. Let's say I give the algorithm a list of items that I know the user viewed and I just need it to give me products similar to the ones I provide by taking into account city & size_in_sqf. How do I accomplish that? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <https://github.com/actionml/universal-recommender/issues/54#issuecomment-401630632>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAT8S85x3gZh8lAgkrth8OMv5qGnV_nwks5uCS71gaJpZM4U-cmb> .
