A system for determining whether shoppers are eligible for frictionless checkout is disclosed. The system has a processor that obtains image data captured using image sensors positioned in a retail store. The processor analyzes the image data to identify at least one shopper at one or more locations of the retail store. The processor detects, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store. Further, based on the detected at least one product interaction event, the processor determines whether the at least one shopper is eligible for frictionless checkout. In response to a determination that the at least one shopper is ineligible for frictionless checkout, the processor causes delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.

Methods and apparatus are disclosed regarding an e-commerce system having social networking aspects. The e-commerce system leverages such social networking aspects to help promote the sale of products.

Systems and methods for conducting a test on a third-party testing platform are provided. A networked system causes presentation of a setup user interface to a third-party user, whereby the setup user interface includes a field for indicating an attribute of a publication to be tested. The networked system receives, via the setup user interface, an indication of the attribute, a subject to be tested, and one or more test parameters. The networked system applies the attribute change to a first version of the publication to generate a second version of the publication. The first version is presented to a first subset of potential users and the second version is presented to a second subset of potential users. Interactions with both the first version and the second version are monitored and analyzed to determine results of the test. The results are then presented to the third-party user.

According to one embodiment of the present invention, a system for modifying content associated with an item comprises at least one processor. Features of interest of the item to a plurality of different groups are determined based on user comments produced by members of the plurality of different groups. The members within each group have a common characteristic. The features of interest to each group within the content associated with the item are identified, and the content associated with the item is modified by balancing the features of interest to the plurality of different groups within the content associated with the item. Embodiments of the present invention further include a method and computer program product for modifying content associated with an item in substantially the same manner described above.

A chat input identifier may receive various chat inputs based on voice or text inputs from a user. The chat input identifier may apply different filters to the chat inputs to identify one or more chat correction pairs (e.g., chat input with errors, corrected chat input) from among the plurality of chat inputs. The chat correction pairs are used to train an auto-correction model. The trained auto-correction model receives a given chat input that has one or more errors. The auto-correction model processes the given chat input to generate a corrected version of the given chat input (without the need to obtain a correction from the user). The corrected chat input is then provided to a dialog-driven application.

Disclosed is an electronic device for processing a touch input. The electronic device may comprise: a touch screen; a biometric sensor disposed overlappingly at a position of at least a part of the touch screen; and a processor for acquiring biometric information of a user from an input relating to an object displayed through the touch screen, by using the biometric sensor, receiving a payment command associated with a payment function for the object, and performing the payment function for a product corresponding to the object by using the biometric information according to the payment command. Various other embodiments may be provided.

An information processing device applies a machine learning model to content for a specific thing for sale to generate changed content in which a predetermined portion other than the specific thing for sale in the content is changed, provides a user with the changed content having been generated, and applies a machine learning model to content for another thing for sale and changes a predetermined portion other than the other thing for sale in accordance with an action of the user with respect to the changed content in the content for the other thing for sale to generate changed content for the other thing for sale.

A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user. The mobile device may display the consolidated images that may include several images of the property taken over time (such as showing repairs or improvements made), home insurance quotes, home loan quotes, and other types of property-related or community information that home buyers or owners would find useful.

A method including receiving, at a data distribution platform, a selection of a data package comprising a high fidelity ata package. The method also includes filtering, automatically by a filtering application of the data distribution platform, the high fidelity data package to form a marketing data package. Filtering includes removing sufficient data from the high fidelity data package such that the marketing data package is a marketing data package. The method also includes publishing the marketing data package within the data distribution platform.

A product release system, method and device that enables product controllers to generate product listings for one or more products as well as one or more customized prepurchase events for each of the products. The product release system, method and device then executes the prepurchase events according to one or more pricing, timing and permission conditions specified for each of the prepurchase events, facilitates the purchasing of the products during the prepurchase events and notifies the product controllers of the results of the prepurchase events.