Aggregating likes to a main page
In one embodiment, a method includes accessing a social graph of a social-networking system, and determining, from the social graph, that a user “likes” a first page associated with a particular version of a media content. The social graph includes a plurality of nodes and edges connecting the nodes. The nodes include user nodes that are each associated with a particular user of the social-networking system. The method further includes determining that one or more other versions of the media content exist, determining that a main page is associated with the particular version and the one or more other versions of the media content, and aggregating the user's “like” of the first page to the main page. Each of the one or more other versions of the media content has one or more associated pages.
1. A method comprising:
by one or more computers, accessing a graph, the graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user;
by the one or more computers, determining, from the graph, that a user “likes” a first page associated with a particular version of a media content;
by the one or more computers, aggregating the user's “like” of the first page to a main page that is associated with the particular version and one or more other versions of the media content;
by the one or more computers, determining that the user “likes” more than one page associated with the media content; and
by the one or more computers, removing all “likes” of the user associated with each page except the main page.
2. The method of claim 1 , further comprising, by the one or more computers:
determining a number of “likes” for each of the first page and one or more other pages associated with the media content; and
assigning a page having a highest number of “likes” as the main page.
3. The method of claim 1 , wherein the media content comprises one or more of:
media content from a set-top box (STB);
media content from a digital video recorder (DVR);
media content from an over-the-top (OTT) content provider;
media content from a multiple system operator (MSO);
pay-per-view media content; and
on-demand media content.
4. The method of claim 1 , wherein the particular version and the one or more other versions of the media content comprise one or more of:
an episode of a show;
a season of the show;
a series of the show; and
a movie.
5. The method of claim 1 , wherein the main page is a Wikipedia page associated with the media content.
6. The method of claim 1 , wherein the “like” comprises an indication that the user likes the media content.
7. A system comprising:
one or more memory devices; and
a processor communicatively coupled to the one or more memory devices, the processor operable to:
access a graph, the graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user;
determine, from the graph, that a user “likes” a first page associated with a particular version of a media content;
aggregate the user's “like” of the first page to a main page that is associated with the particular version and one or more other versions of the media content;
determine that the user “likes” more than one page associated with the media content; and
remove all “likes” of the user associated with each page except the main page.
8. The system of claim 7 , wherein the processor is further operable to:
determine a number of “likes” for each of the first page and one or more other pages associated with the media content; and
assign a page having a highest number of “likes” as the main page.
9. The system of claim 7 , wherein the media content comprises one or more of:
media content from a set-top box (STB);
media content from a digital video recorder (DVR);
media content from an over-the-top (OTT) content provider;
media content from a multiple system operator (MSO);
pay-per-view media content; and
on-demand media content.
10. The system of claim 7 , wherein the particular version and the one or more other versions of the media content comprise one or more of:
an episode of a show;
a season of the show;
a series of the show; and
a movie.
11. The system of claim 7 , wherein the “like” comprises an indication that the user likes the media content.
12. One or more computer-readable non-transitory storage media in one or more computing systems, the media embodying logic that is operable when executed to:
access a graph, the graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user;
determine, from the graph, that a user “likes” a first page associated with a particular version of a media content;
aggregate the user's “like” of the first page to a main page that is associated with the particular version and one or more other versions of the media content;
determine that the user “likes” more than one page associated with the media content; and
remove all “likes” of the user associated with each page except the main page.
13. The media of claim 12 , wherein the logic is further operable to:
determine a number of “likes” for each of the first page and one or more other pages associated with the media content; and
assign a page having a highest number of “likes” as the main page.
14. The media of claim 12 , wherein the media content comprises one or more of:
media content from a set-top box (STB);
media content from a digital video recorder (DVR);
media content from an over-the-top (OTT) content provider;
media content from a multiple system operator (MSO);
pay-per-view media content; and
on-demand media content.
15. The media of claim 12 , wherein the particular version and the one or more other versions of the media content comprise one or more of:
an episode of a show;
a season of the show;
a series of the show; and
a movie.
16. The media of claim 12 , wherein the main page is a Wikipedia page associated with the media content.
17. The media of claim 12 , wherein the “like” comprises an indication that the user likes the media content.