Abstract: Embodiments are directed to generating service offerings based on associated content and historical data. Content from a content panel may be provided. Subjects associated with the content may be determined based on information included in the content. A service category associated with the subjects may be determined based on services provided by a healthcare organization. An offering model may be employed to generate an offering panel based on the service category. The offering model may be evaluated based on monitoring interactions between users and the offering panel. Results of the evaluation may be employed to perform further actions including: designating the offering model for retraining based on the performance metrics; retraining the designated offering model; employing the retrained offering model to generate other offering panels for display to the users; or the like.

Abstract: Embodiments are directed to generating service offerings based on associated content and historical data. Content from a content panel may be provided. Subjects associated with the content may be determined based on information included in the content. A service category associated with the subjects may be determined based on services provided by a healthcare organization. An offering model may be employed to generate an offering panel based on the service category. The offering model may be evaluated based on monitoring interactions between users and the offering panel. Results of the evaluation may be employed to perform further actions including: designating the offering model for retraining based on the performance metrics; retraining the designated offering model; employing the retrained offering model to generate other offering panels for display to the users; or the like.

Abstract: Enabling the selection, modification, and subsequent generation of online advertisements for either a one time use or as part of an advertising campaign. The performance of an advertisement is iteratively reviewed based on heuristics, statistics, metrics, real-time feedback, and the like, either singly or in some combination. Iterative monitoring of performance information for related, but different, online advertisements is analyzed and employed to recommend and/or automatically generate changes to an online advertisement, or advertising campaign. An editing facility is also provided to enable a user to modify a plurality of elements in an online advertisement, and at least some of these editable/modifiable elements are monitored for performance information. The editing facility can enable editing of different file formats for online advertisements, including, Flash, SVG, and Gnash.

Abstract: Enabling the selection, modification, and subsequent generation of online advertisements for either a one time use or as part of an advertising campaign. The performance of an advertisement is iteratively reviewed based on heuristics, statistics, metrics, real-time feedback, and the like, either singly or in some combination. Iterative monitoring of performance information for related, but different, online advertisements is analyzed and employed to recommend and/or automatically generate changes to an online advertisement, or advertising campaign. An editing facility is also provided to enable a user to modify a plurality of elements in an online advertisement, and at least some of these editable/modifiable elements are monitored for performance information. The editing facility can enable editing of different file formats for online advertisements, including, Flash, SVG, and Gnash.