| 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; gauging likelihood of particular user-generated actions to cause future influence based on algorithmic similarities in their aggregate attributes to the historically influential user-generated actions; and presenting, via a graphical user interface (GUI), the particular user-generated actions in a format reflective of the gauged likelihood of those particular user-generated actions to cause future influence. |
