Abstract: Methods and apparatus for classification-based dynamic allocation of computing resources are described. A method comprises determining usage data sources corresponding to one or more clients of a computing infrastructure, and assigning values to client classification categories associated with a particular client based on metrics obtained from the particular client's usage data sources. The method includes generating a recommendation mapping between values of the client classification categories, and one or more resources of the infrastructure, based at least in part on resource classification information. The method further includes allocating at least a portion of the one or more resources to the particular client based at least in part on the recommendation mapping.

Abstract: Methods and apparatus for various embodiments of an automated campaign generation tool for creating content given one or more sources of data. The campaign generation tool may provide an interface to guide a user through a series of steps by which an automated content generation task is specified and created, such that when the automated content generation task is executed, one or more content objects may be generated in order to be provide to a search engine. By automating the content generation, a user may be able to manage a large and frequently updated source of data.

Abstract: Methods and apparatus for classification-based dynamic allocation of computing resources are described. A method comprises determining usage data sources corresponding to one or more clients of a computing infrastructure, and assigning values to client classification categories associated with a particular client based on metrics obtained from the particular client's usage data sources. The method includes generating a recommendation mapping between values of the client classification categories, and one or more resources of the infrastructure, based at least in part on resource classification information. The method further includes allocating at least a portion of the one or more resources to the particular client based at least in part on the recommendation mapping.