Social sharing system
AssigneePaypal, Inc.
InventorsNeelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
Life of this patent
Estimating the term…
Abstract
A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.
Claims17
A system comprising:
- one or more processors;
- and
- one or more machine-readable storage media having instructions stored thereon that, in response to being executed by the one or more processors, cause the system to perform operations comprising:
- obtaining user data for a first and second user from a social network, the user data for the first and second users including consumption information that relates to content items shared between the first and second users;
- determining a set of relationship attributes of the first and second users, wherein one of the set of relationship attributes defines a relationship between the first user and the second user;
- subsequent to the determining, identifying a third user based on the relationship attribute of the first and second users, wherein user data of the third user includes the relationship attribute, indicating that the third user has the same relationship with the first user that exists between the first user and the second user;
- determining recommendation content items for the third user based on the consumption information;
- and
- presenting the recommendation content items to the third user via a user interface on a device associated with the third user.
A method comprising:
- obtaining user data for a first and second user from a social network, the user data for the first and second users including consumption information that relates to content items shared between the first and second users;
- determining a set of relationship attributes of the first and second users, wherein one of the set of relationship attributes defines a relationship between the first user and the second user;
- subsequent to the determining, identifying a third user based on the relationship attribute of the first and second users, wherein user data of the third user includes the relationship attribute, indicating that the third user has the same relationship with the first user that exists between the first user and the second user;
- determining recommendation content items for the third user based on the consumption information;
- and
- presenting the recommendation content items to the third user via a user interface on a device associated with the third user.
A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
- obtaining user data for a first and second user from a social network, the user data for the first and second users including consumption information that relates to content items shared between the first and second users;
- determining a set of relationship attributes of the first and second users, wherein one of the set of relationship attributes defines a relationship between the first user and the second user;
- subsequent to the determining, identifying a third user based on the relationship attribute of the first and second users, wherein user data of the third user includes the relationship attribute, indicating that the third user has the same relationship with the first user that exists between the first user and the second user;
- determining recommendation content items for the third user based on the consumption information;
- and
- presenting the recommendation content items to the third user via a user interface on a device associated with the third user.
Dependencies are inferred from the claim text.