1. A computer-implemented method, comprising: receiving historical post information associated with marketing posts presented on a social media forum; training, via a processor, a model for predicting community interest for a potential post posted in a posting circumstance in which a combination of posting factors is applicable, including a time-dependent posting factor, the model being trained based on the historical post information, wherein the time-dependent posting factor is at least one of: (i) a time of day or (ii) a time elapsed between a first post and a second post; and providing the model for use in a recommendation engine.