G06Q30/0269

SYSTEMS AND METHODS FOR AUTOMATICALLY IDENTIFYING A USER PREFERENCE FOR A PARTICIPANT FROM A COMPETITION EVENT
20230269425 · 2023-08-24 ·

Systems and methods are disclosed herein for determining a preference of a user for or against a participant of an event when a media asset relating to the event is being played based on monitoring user reactions to the event. Specifically, the media guidance application may detect a change of at least one of the biometric state (e.g., pulse rate, blood pressure, etc.) and physiological state (e.g., facial expression, gesture, body movement, etc.) with a user. The media guidance application may determine that an event has occurred within the sporting event that triggered the change. The media guidance application may determine that the user favors the first participant over the second participant, if the user reacts positively towards a score for the first participant in the event.

MATCHING DEVICE, SALES PROMOTION ASSISTANCE SYSTEM, MATCHING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
20230267506 · 2023-08-24 · ·

A matching device (10) includes: a cyber attribute extraction unit (11) that extracts, based on social media information of a plurality of accounts, a plurality of pieces of cyber attribute information being personal attributes in a cyberspace of the plurality of accounts; a physical attribute extraction unit (12) that extracts, based on an image acquired by capturing a real world, physical attribute information being a personal attribute in a physical space of a person in the image; a calculation unit (13) that calculates a degree of agreement between the plurality of pieces of extracted cyber attribute information and the extracted physical attribute information; and an output unit (14) that compares a piece of cyber attribute information selected based on the degree of agreement among the plurality of pieces of cyber attribute information with the physical attribute information, and outputs a result of the comparison.

GENERATING AND HANDLING OPTIMIZED CONSUMER SEGMENTS

A method for generating and handling optimized consumer segments is provided. The method includes receiving, in a server, a raw data from consumer devices, refining the raw data to capture a data pattern, and predicting a consumer behavior based on the data pattern, the consumer behavior defining attributes. The method also includes identifying a consumer segment based on the consumer behavior and a sharing of a one or more attributes among multiple consumers in the consumer segment, selecting at least one of an advertising message or a promotional offer to one or more consumers in the consumer segment to include in a payload content, identifying a media channel to deliver the payload content to one or more consumer devices, and providing the consumer segment to a display. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

METHODS, DEVICES, AND SYSTEMS FOR PROVIDING PERSONALIZED IMMERSIVE CONTENT IN EXTENDED REALITY (XR) ENVIRONMENTS

Aspects of the subject disclosure may include, for example, obtaining data relating to a user, where the data relating to the user includes user profile data regarding user activities in a first domain, mapping the user profile data to a second domain, resulting in mapped user profile data, receiving, from an immersion engine, data regarding an immersion environment, obtaining data relating to advertisement content, where the data relating to advertisement content includes information identifying an advertisement object, deriving immersive advertising data based on the mapped user profile data, the data regarding the immersion environment, and the data relating to the advertisement content, and outputting the immersive advertising data to the immersion engine, where the immersive advertising data enables the immersion engine to embed the advertisement object in the immersion environment. Other embodiments are disclosed.

3D data labeling system over a distributed network

A system for labeling 3D data collected from a plurality of client nodes that provide 2D or 3D imaging information. Aggregating the collected 3D data into a database of records residing on a distributed network. Analyzing, organizing, indexing and labeling the records to allow recognition of 3D objects locally at a client node on the network.

Digital device and method for controlling the same

A digital television including an interface to receive control signals from a remote controller; a screen; and a controller to execute an application related to a first icon within a menu when the controller receives a signal selecting the first icon within the menu from the remote controller, display a content of the executed application related to the first icon on the screen, enter into an edit mode of a second icon within the menu and display a first indicator for deleting the second icon as well as a second indicator for moving the second icon with displaying the content of the executed application related to the first icon in response to selecting an Up-key included in the remote controller, display a message verifying whether or not to delete the second icon from the menu in response to selecting an OK-key included in the remote controller after selecting the first indicator, delete the second icon from the menu and align other icons in a respective order in response to receiving a signal requesting for a deletion of the second icon through the message, and display the aligned other icons on the screen.

Accuracy of low confidence matches of user identifying information of an online system
11334556 · 2022-05-17 · ·

An online system receives third party user identifying information. The online system accesses accuracy measures associated with each of a plurality of the user identifying information sets. The online system identifies high accuracy sets of user identifying information that include the one or more types of user identifying information included in the received types of the third party user identifying information. The online system identifies as high confidence matches those local users of the online system having the high accuracy sets of user identifying information that match a corresponding set of third party user identifying information for the plurality of third party users. The online system also identifies as low confidence matches, and identifies as similar matches those of the low confidence matches that have a measure of similarity to one or more of the high confidence matches that is beyond a threshold measure of similarity.

SYSTEM AND METHOD FOR DYNAMIC SEGMENTATION OF NETWORK NODES TO MANAGE WORKFLOW DATA SYNCHRONIZATION
20230267488 · 2023-08-24 ·

The present disclosure relates to a system and method for managing workflow including the ability to manage workflow strategy and activity, and provide suggestions to optimize workflow strategy and activity.

Method and apparatus for delivering advertisements
11334917 · 2022-05-17 · ·

Embodiments of the specification provide a method and apparatus for delivering advertisements. The method for delivering advertisements comprises: obtaining location information of a plurality of users and/or one or more offline merchants; determining a target group of target users around an advertisement delivery device according to the location information of a plurality of users and/or one or more offline merchants; determining profile data of the target group around the advertisement delivery device; and delivering an advertisement to the advertisement delivery device based on the profile data of the target group around the advertisement delivery device.

Application recommendation engine
11734660 · 2023-08-22 · ·

A computed-implemented method and system for recommending business applications on a network-based marketplace are described. A user's listings, representing items for sale on the marketplace, are harvested to calculate segmentation data and metrics that form a user profile. The user profile is compared with other similar users who have subscribed to various applications, and the impact those applications have had on the metrics of the similar users is calculated in order to determine what impact the applications will have on the user in question. The impact, combined with user preferences, is used to suggest appropriate applications, which are displayed to the user within the marketplace. If the user selects one of the applications, the application is added to the user's profile and relevant listings are updated with the new application.