Contribution filtering for online community advocacy management platform

摘要

For an online community advocacy management platform, the techniques herein intelligently provide mechanisms and user interfaces for filtering (triaging) the view of comments and content based on advocate levels, trend rates, consumer participation, hot topics, recent activity, etc. by gauging the likelihood of user-generated actions to cause future influence based on their algorithmic similarities to historically influential actions, and weighted based on an aggregate, compounding history of individuals throughout time.

主权项

1. A method, comprising:
determining, by an online community advocacy management platform, aggregate attributes of historically influential user-generated actions within an online community, wherein the aggregate attributes include user attributes that that account for at least a user advocacy score and a user advocacy level; gauging likelihood of particular user-generated actions associated with one or more particular subjects to cause future influence based on algorithmic similarities in their aggregate attributes to the historically influential user-generated actions; and filtering a view of a graphical user interface (GUI) of the online community advocacy management platform, to rank users according to the user-based attributes and in relation to the one or more particular subjects of the users that are likely to garner future attention, wherein the view includes a graphical representation of the one or more particular subjects that are likely to garner the future attention.