Abstract: Techniques and system configurations for generating rankings and ranking models for information, including for new and updated items, based on streaming event data are disclosed. In an example, operations used for ranking and ordering information in a commerce user interface based on streaming events include: processing streaming events representing user interaction in a commerce user interface; calculating a simulated engagement score for a new or updated item based on the streaming events; applying the simulated engagement score in a ranking model for a subsequent information set; and generating output of the subsequent information set via the commerce user interface, using the ranking model, as the new or updated item of information is ordered based on the simulated engagement score. With this technique, an approach for presenting and organizing data may be offered in user interfaces considering actual and estimated engagement, including for new and updated products and information.

Abstract: Techniques and system configurations for generating rankings and ranking models for information, including for new and updated items, based on streaming event data are disclosed. In an example, operations used for ranking and ordering information in a commerce user interface based on streaming events include: processing streaming events representing user interaction in a commerce user interface; calculating a simulated engagement score for a new or updated item based on the streaming events; applying the simulated engagement score in a ranking model for a subsequent information set; and generating output of the subsequent information set via the commerce user interface, using the ranking model, as the new or updated item of information is ordered based on the simulated engagement score. With this technique, an approach for presenting and organizing data may be offered in user interfaces considering actual and estimated engagement, including for new and updated products and information.