Application bookmarks and recommendations
Abstract:
In one embodiment, a method includes one or more computing devices identifying multiple applications associated with a social-networking system based at least in part on social-networking information for a user associated with the social-networking system. The method also includes calculating, using a machine-learning model and for each of the identified applications, a score based at least in part on a click-through probability that the user will interact with the application upon display of a selectable representation associated with the application, where the machine-learning model is based at least in part on one or more features associated with the user or the application. The method also includes sending, to a client device of the user for display, information to present a selectable representation associated with each of one or more of the identified applications based at least in part on the score for the application.
Public/Granted literature
Information query
Patent Agency Ranking
0/0