This application relates to systems, methods, devices, and other techniques for utilizing visual reality shopping experience for users.

Methods, apparatus, systems, and articles of manufacture are disclosed to determine unique audience size via clustered data. An example apparatus includes memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions. The example processor circuitry is to form a first matrix identifying matching and non-matching instances of first values of respective demographics of an audience of media and second values of the respective demographics. Also, the processor circuitry is to normalize the first matrix to generate an account sharing adjustment matrix. Additionally, the processor circuitry is to apply the account sharing adjustment matrix to a vector of one or more counts of impressions of the media to correct for one or more members of the audience that share a user account registered with a database proprietor, the one or more counts of the impressions corresponding to the respective demographics.

Systems and methods relating to a keyboard application on a mobile device are disclosed. The keyboard application generates a search query which it sends to a remote server. Data located based on the search query is received from the remote server. The data is associated with a record comprising a record identifier. The keyboard application associates a GUI element of the keyboard application with the record identifier. An input is received corresponding to selection of the GUI element. A unique tracking link is generated comprising a URI and an identifier associated with the selection of the GUI element. The URI is a deep link into an application that can execute on the mobile device. The unique tracking link is stored in a database in association with the record and user identifier and passed to the application to access content of the application.

A method and system of discovering materials for use in carbon dioxide separation includes extracting references to chemical molecules from online sources. The extracted references are encoded into chemical formulas. Molecular properties are calculated from the encoded chemical formulas. Features are extracted from the chemical formulas. Molecular properties of predicted molecular structures are predicted through a machine learning engine. The predicted molecular properties are based on the calculated molecular properties and extracted features. Target properties for predicted molecular structures are defined. Synthesized molecular structures are generated. The synthesized molecular structures include predicted molecular properties satisfying the defined target properties.

A computer system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to cause the computer system to perform a method for event detection. The method includes obtaining a user profile and a persona category associated with the user profile corresponding to a user; receiving first data associated with the user and second data associated with one or more environmental or situational factors; detecting an event based on the first data or the second data; and querying a database in response to the detected event to determine one or more recommended actions for the user based on the user profile and the persona category of the user.

A computer system, including: a downloadable application to operate on a mobile device of a customer, the downloadable application including instructions to browse and select items on web pages of an online seller, wherein the downloadable application enables the customer to select a desired price for a promotional product of the online seller; a consumer service provider in communication with the downloadable application of the mobile device, the consumer service provider to promote the promotional product of the online seller.

This application relates to systems, methods, devices, and other techniques that can be utilized to simulate and analyze behaviors of customers in a retail environment.

In one example, a method performed by a processing system including at least one processor includes rendering an extended reality environment, monitoring social interactions of a plurality of users within the extended reality environment, adjusting the extended reality environment in response to the social interactions of the plurality of users, and adjusting a rule associated with the extended reality environment in response to the adjusting the extended reality environment.

Systems and methods for market value at risk evaluation are disclosed. In one embodiment, a method for performing a calculation workflow may include (1) a server comprising a computer processor receiving a request for a calculation; (2) the server receiving at least one data parameter; (3) the server identifying a plurality of workflow components required for the calculation; (4) the server identifying dependencies for each identified workflow component; (5) the server ordering the identified workflow components based on the dependencies for each workflow component; (6) the server retrieving data to conduct the calculation; and (7) the server performing the requested calculation using the ordered workflow components based on the data parameter and the data.

Systems, methods, and applications for mobile intelligent outside sales assistance are provided. Embodiments include receiving speech for recognition of an outside sales call; converting the speech for recognition to text; parsing the converted text into outside sales triples; storing the outside sales triples in an enterprise knowledge graph of a semantic graph database; generating real-time outside sales insights in dependence upon the speech of the outside sales call and the stored outside triples in the enterprise knowledge graph; and presenting the real-time outside sales insights to an outside sales agent.