Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, retrieving touchpoint data of a product and creating a data element based on the retrieved touchpoint data, the data element includes information about a touchpoint of the product by a stakeholder. The method also includes, by the computing device, adding the created data element to a product pedigree list, wherein the product pedigree list is a pedigree list which contains data elements of the product. The method may further include, by the computing device, storing the product pedigree list in a graph database. The method may further include, by the computing device, predicting, using a machine learning (ML) model (e.g., an autoencoder), whether a state of the product pedigree list is normal or anomalous.

Abstract: A system comprising a database and a computing device. The database may be configured to store, sort and retrieve for each of a plurality of users a unique account and comments associated with the unique account. The computing device may be configured to display comments retrieved from the database associated with the unique account, generate an identification code to enable a commenter to add the comments to the unique account and communicate the comments to the database. The comments may comprise positive feedback about the users. The identification code may enable the commenter to add the comments without being one of the users. The comments may be displayed in response to an approval by the user of the unique account. The positive feedback may comprise a personalized message by the commenter about a performance of one of the users.

Abstract: A system for recognizing a plurality of assets in an environment, determining a brand associated with each of the plurality of assets using a deep neural networking model, and computing a brand visibility and a compliance metric for the brand is provided, The system (i) determines a location of a plurality of assets and type of each of the plurality of assets within the media content, (ii) determines a brand and at least one object from the brand associated with each of the plurality of assets, (iii) determines at least one attribute of the at least one determined object associated with the brand, (v) implements at least one compliance rule to the at least one attribute of the at least one object, (vi) automatically determines a brand visibility and a compliance metric for the brand within the environment based on attention sequence and heatmap corresponding to the media content.

Abstract: Systems and methods are disclosed for accessing first party Internet cookies. One method includes receiving, over an electronic network, a request for an electronic advertisement or an Internet cookie, wherein the request is received in response to a user requesting content from a subdomain of an advertising entity domain; and sending, to a device associated with the user, an Internet cookie having the subdomain of the advertising entity domain. The method further includes receiving, from the device associated with the user, a request for content from the subdomain of the advertising entity domain, wherein the request is received in response to the user requesting content from a domain of an online publisher; and accessing data stored in the Internet cookie sent to the device associated with the user.

Abstract: Concepts and technologies disclosed herein are directed to optimizing and reducing redundant dispatch tickets via a network knowledge graph. According to one aspect disclosed herein, a network knowledge graph generation system (“NKGGS”) can construct a machine learning model to determine a probability of an installation job needing a helper job to fulfill a service order. The NKGGS can execute the machine learning model to determine the probability. The machine learning model can determine the probability of the installation job needing the helper job to fulfill the service order based upon a network knowledge graph and a dependency score. The NKGGS can cluster the installation job with a plurality of installation jobs.

Abstract: A method for dynamic test suite creation from event communications from customers includes receiving an event communication from a customer about an adverse event. The customer receives support for computing equipment over a management network from a support provider and the adverse event is regarding the computing equipment. The method includes analyzing the event communication using natural language processing to identify a potential cause of the adverse event and selecting one or more tests from a test library based on the identified potential cause of the adverse event. Each test of the tests is configured to test a portion of the computing equipment to lead to identification of a cause of the adverse event. The method includes automatically initiating the selected one or more tests through the management network and analyzing test results from execution of the selected one or more tests to identify a cause the adverse event.

Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: A computer-implemented method for optimizing the placement of previously selected breaks in a media item is provided herein. Embodiments of the method include steps of identifying a break in a media item, the break being associated with a first break point at a first time during playback of the media item. The method may also include steps of dynamically adjusting the placement of the breaks within the media item based on the performance of the media item.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.

Abstract: A loyalty program management system associated with an enterprise location is provided. The loyalty program management system is programmed to: a) receive a plurality of input data associated with a plurality of patrons, wherein the plurality of input data represents actions of the plurality of patrons; b) determine a current location of a patron of the plurality of patrons, wherein the current location of the patron is not at the enterprise location; and c) transmit a message to a computer device associated with the patron including a prize to be awarded if the patron visits the enterprise location.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

Abstract: Computing systems and methods are provided for detecting skin conditions of humans. A computing device can authenticate a user via a fingerprint scan of a first skin region of the user using a three-dimensional (3D) sonic sensor. The device can generate a three-dimensional (3D) volumetric sonic measurement of a second skin region of the user based at least in part on one or more sonic pulses of the three-dimensional sonic sensor. The device can input data indicative of the 3D volumetric sonic measurement into one or more machine-learning models, generate one or more skin cancer condition identifications associated with the second skin region of the user based on one or more outputs of the one or more machine-learned models, and provide one or more outputs including the one or more skin cancer condition identifications associated with the second skin region of the user.

Abstract: Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a designation of one or more data elements for distribution; receiving a designation of a plurality of electronic event types detectable over a network, the plurality of electronic event types being associated with receipt or electronic display of at least one data element of the one or more data elements, to be tracked; forecasting a return on investment, associated with distribution of the one or more data elements, based on a forecast of occurrences of the plurality of electronic event types; and optimizing distribution of resources to the one or more data elements based on the forecasted return on investment.

Abstract: A streamline banking system includes a customer kiosk having a photographic element and a processor. The processor is programmed to capture an image with the photographic element and determine that the captured image comprises an image of a machine-readable code. The processor decodes the machine-readable code and extracts customer financial account data therefrom. The customer financial account data is associated with one or more financial institutions. The processor retrieves information associated with one or more financial product offerings offered by the financial institutions. Each of the financial institutions is presented to a customer along with the respective financial accounts and the respective financial product offerings. The customer selects one or more of the financial accounts and the financial product offerings. The customer kiosk then transmits to the customer service computing system the customer selection.

Abstract: A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.

Abstract: Methods and systems for providing content are disclosed. An example method can comprise receiving and/or storing first content comprising a first break point, receiving and/or storing second content comprising a second break point, providing the first content, and providing the second content at the second break point in place of the first content at the first break point. In an aspect, the first and second content can be first and second episode of a television show. The first content and the second content can comprise portions that may be commercials, alternate scenes, previews. The portions in the second content can be received at a later time. For example, the portions in the second content can be a newer version or updated version of the respective portions in the first content. The portions in the second content can be played when the first content is provided.

Abstract: Using identifiers on user payment instruments to identify user loyalty accounts comprises a method to store a loyalty account list associated with a user, the loyalty account list comprising one or more user loyalty accounts; associate an identifier with the loyalty account list; receive information identifying a user loyalty account associated with a merchant, the information comprising an account number for the user loyalty account and an identity of the merchant; associate the user loyalty account with the loyalty account list; receive a request for information identifying a user loyalty account associated with a merchant, the request comprising the identifier received by the merchant from a user payment instrument and an identity of the merchant; determine the user loyalty account associated with the merchant; and provide the information identifying a user loyalty account associated with a merchant.

Abstract: A sale data processing device includes a member storage memory configured to store input member specification information, and a processor configured to determine whether or not an acquired sale target is a sale target to be sold only to only a member, on the basis of specification information for specifying the sale target. The processor is configured to execute a settlement process related to the sale target only when the sale target is a sale target to be sold to only a member and the member information is stored in the member storage memory.

Abstract: Methods and systems for data modelling. One method includes receiving a plurality of data points representing training data, and generating a plurality of models based on the training data, each of the plurality of models using at least one a different modelling methodology or a different portion of the training data. The method also includes receiving an input representing a requested prediction, generating an output based on the input using each of the plurality of models, providing the output generated by each of the plurality of models and the training data to a machine learning algorithm, generating, with the machine learning algorithm, the requested prediction using the output generated by each of the plurality of models and the training data, and outputting the requested prediction for display to a user.

Abstract: Systems and methods are disclosed for executing an electronic transaction using a digital wallet. One method includes receiving a guest checkout request and electronic transaction data from an electronic transaction browser. Whether a user is enrolled in the digital wallet system may be determined by the digital wallet system. The digital wallet system may authorize an electronic transaction based on the electronic transaction data upon determining the user is not enrolled in the digital wallet system. The digital wallet system may initiate a digital wallet enrollment upon authorizing the electronic transaction. The digital wallet system may store the user data in the digital wallet system and transmit a verification request to the electronic transaction browser. The digital wallet system may receive a verification response from the electronic transaction browser and may generate a digital wallet enrollment status message based on the verification response.