Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.

Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.