Abstract: Processes for determining predicted prices of social media actions from disparate social media types are disclosed. In one example process, campaign attribute data associated with an advertising campaign on a social media service may be received. The campaign attribute data and historical campaign attribute data associated with previously performed advertising campaigns may be used to generate a plurality of predicted prices for the social media action. A weighted sum of the plurality of predicted prices may be calculated to generate a final predicted price for the social media action. Predicted prices for other social media actions performed on other social media services may similarly be generated. Systems and non-transitory computer-readable storage media for performing these processes are also provided.

Abstract: Processes for determining predicted prices of social media actions from disparate social media types are disclosed. In one example process, campaign attribute data associated with an advertising campaign on a social media service may be received. The campaign attribute data and historical campaign attribute data associated with previously performed advertising campaigns may be used to generate a plurality of predicted prices for the social media action. A weighted sum of the plurality of predicted prices may be calculated to generate a final predicted price for the social media action. Predicted prices for other social media actions performed on other social media services may similarly be generated. Systems and non-transitory computer-readable storage media for performing these processes are also provided.

Abstract: Distributing knowledge through a learning community includes creating a plurality of learning communities; for each of the plurality of learning communities, allowing creating a knowledge base by the content producers, allowing submitting content to the learning community by the content consumers or the content producers; sharing contents with the content consumers and content producers in many ways. The learning communities are listed in a directory. A category in the directory is able to be drilled into for multiple levels. Each of the multiple levels of the categories in the directory is associated with one or more of the plurality of learning communities.