公开(公告)号：US20190340537A1

公开(公告)日：2019-11-07

申请号：US16404148

申请日：2019-05-06

Applicant: Google LLC

Inventor： Simon Fung ,  Dana Wilkinson ,  Michael Peter Mattiacci ,  Sarah Sachs ,  Tong Wang ,  David Chen ,  Marcel Uekermann ,  Chandrasekhar Thota ,  Matthew Burgess

IPC: G06N20/00 ,  G06Q30/02 ,  G06K9/62 ,  G06F17/18

Abstract: A personalized score for a place that a user may want to visit is computed and displayed to the user. The score is computed based on at least one of inferred or explicit parameters, using machine learning. The score may be displayed to the user in connection with the place, and in some examples explanations of the underlying factors that resulted in the score are also displayed. Because each user is unique, the score may be different for one person than for another. Accordingly, when a group of friends are deciding on a place to visit, such as a place to eat, the personalized score for a given restaurant may be higher for a first user than for a second user.