Abstract: An embodiment of the disclosure provides a system for recommending at least one product to a user device. The system is configured to: (a) receive N product descriptions, each product description in the N product descriptions including an image; (b) extract, for each image in the N product descriptions, a plurality of features including machine-understandable visual parameters; (c) arrange a subset of the N product descriptions relative to a surface in a grid-like manner according to the machine-understandable visual parameters; (d) providing, to the user device, the grid-like arrangement of the subset of the N product descriptions; (e) receive, from the user device, signals indicating an interaction relative to the surface; (f) in response to the signals, rearrange the subset of the N product descriptions relative to the surface; and (g) send, to the user device, the rearranged subset of the N product descriptions.

Abstract: Determining a visual preference of a user by selecting a display set of item images from at least one item database and causing the item images of the display set to be displayed at a user interface. Engagement events at the user interface between the user and engaged-with item images are detected and used to determine a visual preference hypothesis for the user based on visual features extracted from the engaged-with item images. New item images are selected from the database(s) by comparing their visual features with the visual preference hypothesis. This is an iterative process, in which the visual preference hypothesis is refined and the display set continues to be updated accordingly. In another aspect, an improved user interface facilitates efficient item selection based on active and/or passive engagement events (of various possible types) with an item array, providing a rich source of visual preference information.

Abstract: In one aspect, visual preference of a user is determined by selecting a display set of item images from at least one item database and causing the item images of the display set to be displayed at a user interface. Engagement events at the user interface between the user and engaged-with item images are detected and used to determine a visual preference hypothesis for the user based on visual features extracted from the engaged-with item images. New item images are selected from the database(s) by comparing their visual features with the visual preference hypothesis. This is an iterative process, in which the visual preference hypothesis is refined and the display set continues to be updated accordingly. In another aspect, an improved user interface facilitates efficient item selection based on active and/or passive engagement events (of various possible types) with an item array, providing a rich source of visual preference information.