1. A computer-implemented method comprising: determining content that identifies a particular event anticipated to occur at a future time; determining that a length of time, during which interactions with respect to the content occur, exceeds a predetermined trend time; identifying a content trend topic associated with the particular event that is anticipated to occur at the future time, the content trend topic being identified based on the length of time, during which the interactions with respect to the content occur, exceeding the predetermined trend time; determining content items that meet a predetermined relevance threshold for the identified content trend topic; associating the identified content trend topic with the content items that meet the predetermined relevance threshold; and clustering the content items associated with the identified content trend topic for provisioning when the content trend topic anticipated to occur at the future time does occur.