Abstract: Systems and methods for recommending offers to a user are implemented via one or more processors operating on one or more server systems. The systems and methods include receiving attribute data associated with one or more target users. An offer is determined for transmittal to the one or more target users. The offer is based at least on at least a portion of the attribute data analyzed by a predictive process including a decision tree combined with a clustering process. An offer is output that is configured to be received by the one or more targeted users.

Abstract: User polling associated with an interactive broadcasting platform includes maintaining a list of one or more existing request posts associated with content. The existing request posts are posted by one or more users associated with an interactive broadcast platform. A new request post is received from another user associated with the interactive broadcasting platform with the new request post being associated with the interactive broadcasting platform. Votes are received from a group of users. The group of users include any of the one or more users, the another user, and other non-posting users associated with the online broadcasting platform. The votes are associated with at least one of the one or more existing request posts and the new request post. A score is determined for the existing request posts and for the new request post according to a function that includes the votes received from the group of users.