| abstract |
A recommendation system and method for generating a set of recommended items for a user who browses items from an item data store. The recommendation system estimates ratings for at least some of the items previously viewed by the user, and then constructs a representation of the user's implicit ratings of attributes of these items. These implicit attribute ratings are then used to estimate the user's ratings for unseen items in the item data store. |