Abstract: A computer-implemented method for generating creative type suggestions for an online content provider is provided. The method uses a computing device including a processor and a memory. The method includes training a first model with historical information including one or more of (i) serving performance of online advertisements and (ii) advertiser information. The method also includes computing a preliminary creative type suggestion using at least the first model. The method further includes modifying the preliminary creative type suggestion based at least in part on past suggestion performance to generate a final creative type suggestion. The method also includes presenting the final creative type suggestion to the online content provider.

Abstract: A computer-implemented method for generating creative type suggestions for an online content provider is provided. The method uses a computing device including a processor and a memory. The method includes training a first model with historical information including one or more of (i) serving performance of online advertisements and (ii) advertiser information. The method also includes computing a preliminary creative type suggestion using at least the first model. The method further includes modifying the preliminary creative type suggestion based at least in part on past suggestion performance to generate a final creative type suggestion. The method also includes presenting the final creative type suggestion to the online content provider.

Abstract: A computer-implemented method for generating creative type suggestions for an online content provider is provided. The method uses a computing device including a processor and a memory. The method includes training a first model with historical information including one or more of (i) serving performance of online advertisements and (ii) advertiser information. The method also includes computing a preliminary creative type suggestion using at least the first model. The method further includes modifying the preliminary creative type suggestion based at least in part on past suggestion performance to generate a final creative type suggestion. The method also includes presenting the final creative type suggestion to the online content provider.

Abstract: A computer-implemented method includes retrieving, from a data repository, one or more resource requirements associated with a plurality of services; receiving computing resource information associated with a group of available computing devices; determining, at least partly based on the one or more resource requirements for the plurality of services and the computing resource information for the group of available computing devices, an allocation of the plurality of services across the group of available computing devices; detecting an occurrence of an event in a computing device associated with the group of available computing devices; removing, based on detecting, the computing device from the group of available computing devices to generate an updated group of available computing devices; and re-allocating the plurality of services across the updated group of available computing devices.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer readable media, for selecting images based on textual description are provided. Candidate images may be stored, for example, in an image repository. A textual description for an advertisement is received. Characteristic data, such as classification results and a feature vector, are generated based on the textual description for the advertisement. A first correlation score for each candidate image based on the characteristic data, for example, the classification results of the textual description, can be calculated. A second correlation score for each candidate image based on the characteristic data, for example, the feature vector of the textual description, can be calculated. An image can be selected from the candidate images based on the first correlation score and the second correlation score of the selected image.