construct these similarity matrices and so this is how the count matrix looks like so I in like are occurring together because there are two sentences with them but but IND don't go together like like basically once this matrix is constructed you can think of applying single value decomposition to this matrix and this is really how recommender systems have been built in the sense that you will have a history of what uses goodbye war items and you would construct a user ID matrix and then you would do an SPD on this