Fenwick & West LLP
Compatibility prediction based on object attributes
Some embodiments include a method of generating a compatibility score for a grouping of objects based on correlations between attributes of the objects. An example grouping is a pair of user and ad. The method may be implemented using a multi-threaded pipeline architecture that utilizes a learning model to compute the compatibility score. The learning model determines correlations between a first object's attributes (e.g., user's liked pages, user demographics, user's apps installed, pixels visited, etc.) and a second object's attributes (e.g., expressed or implied). Example expressed attributes can be targeting keywords; example implied attributes can be object IDs associated with the ad.
Facebook, Inc.
G G G G G G
G06N G06Q G06N G06Q G06N G06Q
inventional inventional inventional inventional inventional inventional
Mircea Shyamsundar Tianshi Stuart Michael
Grecu Rajaram Gao Bowers