A system for creating a model of a model of a wearable on a portion of a human body, the system includes a processor configured to receive a three-dimensional model of a portion of a human body wearing the wearable, the processor configured to: access a three-dimensional model of a portion of a human body comprising a plurality of slices each having a plurality of vertices around a centroid; access a model of the wearable comprising a plurality of values, each of the values being associated with one of the plurality of vertices around the centroid of one of the plurality of slices; add each of the plurality of values to the distance of each corresponding one of the plurality of vertices around the centroids of the plurality of slices, the associated value representing a distance between the surface of the wearable and the underlying surface of the human body; and a storage means for storing the table representing the clothing article.

A system for sharing at least one selected wearable with at least one selected user on a network, the system including a server configured to receive requests to share selected wearables from one of a plurality of client devices and communicate to the at least one selected user, the server comprising: a first database configured to store a plurality of avatars; and at least one database configured to store a plurality of wearable models; a plurality of client devices communicatively coupled to the server, each of the client devices having a processor configured to: receive an avatar and the model of the wearable for an associated user; morph the clothing to fit the personalized data for each of the at least one target user in response to the sharing request; and render the image of the clothed body for each of the at least one target.

A system that identifies whether an object is within close proximity to a touch screen of a user device using one or more sensors. The system may optimize incentives based on what is being displayed on the user device when the system identifies the object.

The present disclosure is directed to techniques to facilitate online commerce by leveraging user activity, specifically search activity for goods/services on an online platform. As described herein, the online platform refers to a turnkey e-commerce solution that enterprises use to manage electronic transactions involving their goods/services. Some techniques are directed to an improved online platform operative to predict a user's intention behind a search query and after a consider number of search queries, to have that search query as a dynamic search filter for the online platform. Other embodiments are described and claimed.

Ring attributes may be predicted using a predictive model. A diamond selection system determines predicted ring attributes by obtaining and analyzing data related to a recipient, such as social media activity. The diamond selection system may determine search parameters based on predicted ring attributes and present a curated selection or list of candidate stones and/or settings that match the determined search parameters, for example, in a user interface of a mobile electronic device.

The present invention relates to an online system and a control method therefor, the online system comprising clothing devices which may receive physical information of a user, notify of a change in the physical information, register clothing information held by the user, put together the schedule of the user, weather, preferences, the trend in the area where the user is located, and information on the clothing being sold, and recommend customized clothing to the user.

Systems and methods are provided for customizing consumer products. A display device may present a rendering of a customizable product to a user. The display device may also present a set of customizations on a scrollable axis. An input interface such as a touch interface may receive a selection of at least one customization from the user, and the rendering of the product may be updated to display the customizations selected by the user. An electronic file may be generated that includes product manufacturing details, which indicate the customizations selected by the user. The product may be an article of footwear, and a printer may print the selected customizations on the article of footwear.

A system and method for electronic bartering where users capture an image of a tradeable item, search for other tradeable items, and make a bartering offer to another user whereby the bartering transaction is recorded. The barter transactions are analyzed for consumer habits and trends information where users may be presented information calculated from the analyzed barter transactions to determine the barter value and market value of their tradeable items and how to make best estimates when to barter their tradeable items and how to improve their bartering efficiency.

Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

A device may determine that a user device, associated with a user, and a first object for comparison are within a threshold proximity of one another. The device may communicate with the user device to obtain a comparison profile, associated with the user, based on determining that the user device and the first object are within the threshold proximity of one another. The device may identify, based on the comparison profile, a set of desired attributes. The device may identify, based on the comparison profile, a set of attribute categories to be used to compare the first object and the set of desired attributes. The device may determine a first set of attributes of the first object for the set of attribute categories. The device may present, for display, information that identifies one or more attributes of the first set of attributes or the set of desired attributes.