Method embodiments and/or system embodiments are provided that may be utilized to recommend online content to users based, at least in part on a prediction of diffusion of online content through a social network.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: omitting, from being recommended, online content to one or more users in an online social network based at least in part on an estimate that the one or more users are more likely than not to view the online content via a different source. 2. The method of claim 1, wherein the online content comprises one or more of the following: a video; an image; a web page; an article; a product description; a service description; an advertisement; or combinations thereof. 3. The method of claim 1, wherein the estimate is based at least in part on a prediction of diffusion of the online content through the social network. 4. The method of claim 3, wherein the prediction of diffusion is based at least in part on one or more of the following factors: online content retransmission probability; number of successive retransmissions; distance from online content source in a social network graph; relevance of online content to users; or combinations thereof. 5. The method of claim 1, wherein the prediction of diffusion of the online content into the social network is based, at least in part on, generating a set of users reachable from a user in a majority of social network graphs. 6. The method of claim 1, wherein the prediction of diffusion of the online content into the social network is based at least in part, on generating a set of users with a path length from the source less than a threshold repost distance. 7. The method of claim 1, wherein the prediction of diffusion of the online content into the social network is based at least in part, on generating a set of users who have retransmission probabilities greater than a threshold retransmission probability. 8. The method of claim 1, wherein the estimate that the one or more users are more likely than not to view the online content via a different source is based, at least in part, on users having an increased online content diffusion relative to other users. 9. The method of claim 1, wherein the estimate that the one or more users are more likely than not to view the online content via a different source is based, at least in part, on users having an increased number of linked neighbors. 10. The method of claim 1, further comprising recommending non-omitted online content to users based, at least in part, on predicted engagement weight of the online content and/or whether a threshold number of recommended online content has been exceeded relative to other users, 11. A system comprising: a computing device to omit, from being recommended, online content to one or more users in an online social network based at least hi part on an estimate that the one or more users are more likely than not to view the online content via a different source. 12. The system of claim 11, wherein the online content to comprise one or more of the following: a video; an image; a web page; an article: a product description; a service description; an advertisement; or combinations thereof. 13. The system of claim 11, the computing device further to predict diffusion of the online content through the social network 14. The system of claim 13, wherein the diffusion prediction is to be based at least in part on one or more of the following factors: online content retransmission probability; number of successive retransmissions; distance from an online content source in a social network graph; relevance of online content to users: or combination thereof. 15. The system of claim 11 the computing device to further recommend non-omitted online content to users to be based, at least in part, on predicted engagement weight of the online content. 16. An apparatus comprising: means for omitting, from being recommended, online content to one or more users in an online social network based at least in part on an estimate that the one or more users are more likely than not to view the online content via a different source. 17. The apparatus of claim 16, wherein the online content comprises one or more of the following: a video; an image; a web page; an article: a product description; a service description; an advertisement; or combinations thereof. 18. The apparatus of claim 16, the means for estimating further comprises means for predicting diffusion of the online content through the social network. 19. The apparatus of claim 18, wherein the prediction of diffusion is based at least in part on one or more of the following factors: online content retransmission probability; number of successive retransmissions; distance from an online content source in a sodas network graph; relevance of online content to users; or combination thereof. 20. The apparatus of claim 16, further comprising means for recommending non-omitted online content to users based, at least in part, on predicted engagement weight of the online content.