Social media based content selection system
A method for selecting a social media network user. The method comprises obtaining one or more parameters indicative of quality of social media network content from the social media network user, ranking the social media network user based on the one or more parameters, and determining whether the social media network user is selected based on the ranking.
1. A method for selecting a social media network user, the method implemented on a machine having at least one processor, storage, and a communication interface connected to a network, the method comprising:
obtaining one or more parameters indicative of quality of a plurality pieces of social media network content, wherein each of a plurality of users is associated with one or more of the plurality pieces of social media network content;
ranking the plurality of social media network users based on the one or more parameters; and
selecting, based on the ranking, at least one of the plurality of social media network users as a curator and at least some of the plurality of social media network users as a voters, wherein
at least some of social media network content associated with the curator is added to a content pool based on popularity of the social media network content among the voters.
2. The method of claim 1 , wherein the one or more parameters include features related to at least one of:
the social media network user;
social network connections of the social media network user; and
the social media network content associated with the social media network user.
3. The method of claim 1 , wherein the plurality of social media network users are ranked based on the one or more parameters using a first model.
4. The method of claim 3 , wherein each of the ranked social media network users is assigned into one of a plurality of levels based, at least in part, on the one or more parameters using a second model.
5. The method of claim 4 , wherein each of the social media network users is assigned into one of the plurality of levels based, at least in part, on social status of the social media network user.
6. The method of claim 1 , further comprising:
extracting features from each of the plurality of social media network content associated with the plurality of social media network users.
7. A system having at least one processor, storage, and a communication interface connected to a network for selecting a social media network user, the system comprising:
a modeler configured to obtain one or more parameters indicative of quality of a plurality pieces of social media network content, wherein each of a plurality of users is associated with one or more of the plurality pieces of social media network content; and
a user selector configured to rank the plurality of social media network users based on the one or more parameters, and select, based on the ranking, at least one of the plurality of social media network users as a curator and at least some of the plurality of social media network users as a voters, wherein
at least some of social media network content associated with the curator is added to a content pool based on popularity of the social media network content among the voters.
8. The system of claim 7 , wherein the one or more parameters include features related to at least one of:
the social media network user;
social network connections of the social media network user; and
the social media network content associated with the social media network user.
9. The system of claim 7 , wherein the plurality of social media network users are ranked based on the one or more parameters using a first model.
10. The system of claim 9 , wherein each of the ranked social media network users is assigned into one of a plurality of levels based, at least in part, on the one or more parameters using a second model.
11. The system of claim 10 , wherein each of the social media network users is assigned into one of the plurality of levels based, at least in part, on social status of the social media network user.
12. The system of claim 7 , further comprising a feature extractor configured to extract features from each of the plurality of social media network content associated with the plurality of social media network users.
13. A non-transitory machine readable medium having information recorded thereon for selecting a social media network user, wherein the information, when read by a machine, causes the machine to perform the steps of:
obtaining one or more parameters indicative of quality of a plurality pieces of social media network content, wherein each of a plurality of users is associated with one or more of the plurality pieces of social media network content;
ranking the plurality of social media network users based on the one or more parameters; and
selecting, based on the ranking, at least one of the plurality of social media network users as a curator and at least some of the plurality of social media network users as a voters, wherein
at least some of social media network content associated with the curator is added to a content pool based on popularity of the social media network content among the voters.
14. The medium of claim 13 , wherein the one or more parameters include features related to at least one of:
the social media network user;
social network connections of the social media network user; and
the social media network content associated with the social media network user.
15. The medium of claim 13 , wherein the plurality of social media network users are ranked based on the one or more parameters using a first model.
16. The medium of claim 15 , wherein each of the ranked social media network users is assigned into one of a plurality of levels based, at least in part, on the one or more parameters using a second model.
17. The medium of claim 16 , wherein each of the social media network users is assigned into one of the plurality of levels based, at least in part, on social status of the social media network user.