Abstract: Disclosed are various approaches for providing personalized recommendations in a privacy preserving manner. A request from a provider application is received, the request comprising an anonymized user identifier and a navigation identifier that identifies a location of a user associated with the anonymized user identifier within a user interface of the provider application. A user associated with the anonymized user identifier is identified. Then, an activity history of the user is analyzed in order to select a layout order, wherein the layout order is selected based at least in part on the navigation identifier and the activity history of the user. The layout order is then provided to the provider application.

Abstract: A positioning index generating apparatus configured to collect data generated by an action of a customer in each of a plurality of steps into which a product purchase decision step is divided and configured to determine a positioning index of a product based on data generated in at least one step among the plurality of steps.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: A computer-implemented method for counterfactual conversation simulation is disclosed. The computer-implemented method includes generating a system output based, at least in part, on a user input. The computer-implemented method further includes determining that a system output/user input pair is not satisfactory based, at least in part, on a system output/user input score being below a predetermined threshold. The computer-implemented method further includes generating, in response to determining the system output/user input pair is not satisfactory, a counterfactual simulation of the user input based, at least in part, on a target intent of the user input.

Abstract: An information processing system includes a first service server that provides a first service. The system includes a communication circuitry and a control circuitry. The communication circuitry communicates with a user terminal of a user not having a first account of the first service and with a second service server that provides a second service different from the first service. The control circuitry sends a purchase request screen to the user terminal when a purchase request for a commodity or service has been received from the user terminal, inquires of the second service server whether or not the user has a second account associated with predetermined identification information of the user when the identification information is entered on the purchase request screen, and sends display information for registering the first account and performing linking processing of the first account and the second account when the user has the associated account.

Abstract: Example apparatus disclosed herein are to access first data entries from a first data source based on a first media identifier, the first data entries associated with first streaming media, respective ones of the first data entries including the first media identifier and corresponding timestamps that indicate when the first streaming media was presented or accessed via a group of media devices. Disclosed example apparatus are also to access second data entries from a second data source based on a keyword or phrase, the second data entries associated with news information or weather information. Disclosed example apparatus are further to align, based on the timestamps, the second data entries with values of a time varying audience of the first streaming media determined based on the first data entries to determine ratings data that correlates changes in the time varying audience with the news information or the weather information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for conditional monitoring using different groups of remote devices. In some implementations, a system accesses data indicating characteristics for a monitoring program that involves data collection from a plurality of remote devices over a communication network. The system identifies a group of candidates for the monitoring program and, based on outcomes of other monitoring programs, the system generates a prediction for a level of compliance of the group with the requirements of the monitoring program. The system generates one or more scores indicative of whether the monitoring program will satisfy one or more predetermined conditions needed for successful completion of the monitoring program. Based on the generated one or more scores, the system provides a notification over the communication network that is indicative of whether the monitoring program will satisfy one or more predetermined conditions.

Abstract: A method to assess a human subject's attention while experiencing dynamic media. An attention-predictive response (e.g. time course of gaze position, or pupil size, or heart-rate, etc.) is monitored while the subject watches the media. Similarity of the time course of this response to the time course of a predicted response provides a quantitative measure of the subject's attention to the media.

Abstract: A survey distribution system receives a selection of a first subset of a user population. For example, an administrator of the system may select one or more user attributes of the users among the user population. In response, the survey distribution system identified the first subset of users based on the selected attributes. In some example embodiments, the administrator of the system may additionally define a maximum or minimum number of users to be exposed to the content, as well as targeting parameters for the content, such as a period of time in which to distribute the content to the first subset of users, as well as location criteria, such that the content may only be distributed to users located in specific areas.

Abstract: Systems and methods for a care decision platform operable to facilitate shared decision making for care services and/or lifestyle choices related to aging. The present invention incorporates medical decision aids, recommendation engines, and scoring algorithms to design a dynamically updating curriculum for improving customer outcomes as a result of care services and/or lifestyle choices. The curriculum is operable to be implemented as a customer relationship management tool for a care service provider.

Abstract: A system for prediction of clinical trial participation. The system includes: a processor of a participation probability node; a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive a clinical trial (CT) request from a user device, parse the CT request to derive at least one CT parameter, query a patients' database based on the at least one CT parameter to store a set of potential CT participants, collect social media activity-related data for each of the potential CT participants from the set, generate a plurality of feature vectors based on the social media activity-related data of the potential CT participants, and provide the feature vectors to the machine learning module for generating a predictive model indicating a participation probability index for each of the potential CT participants.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to generate a first digital media identifier related to a first user account and store data associated with a provenance of the first digital media identifier. Such embodiments further receive data indicating an interaction on a remote software platform(s) by a second user account with a publication of the first digital media identifier on the remote software platform(s).

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for measuring employee engagement. An example method includes receiving, by communications circuitry, an exogenous event report and identifying, by a frequency modulator and based on the exogenous event report, a frequency at which to deliver an employee survey to an employee. The example method further includes causing, by an engagement engine, delivery of the employee survey to the employee based on the identified frequency and receiving, by communications circuitry, a response to the employee survey. The example method further includes storing the received response in a memory as a measure of employee engagement.

Abstract: A method of filtering an original set of user-provided text responses across a network, including receiving, from one or more processors on one or more user computers, multiple user-provided text responses to a question, the multiple user-provided text responses forming the set, identifying text responses that are no-value text responses and removing the no-value text responses from the original set, removing text responses from the original set where the length of the response does not meet a threshold length, identifying text responses that are gibberish responses and removing gibberish responses from the original set, sending the remaining responses as a filtered set of responses to a machine learning system, the machine learning system to: perform clustering on the filtered set to identify one or more clusters of text responses that are similar to each other, identifying text responses outside the one or more clusters as noise responses, scoring the noise responses, and removing text responses having a sc

Abstract: A computer-implemented method for rating a consumer product or service, the method including: calculating, by a computer system comprising at least one computer in a network comprising at least one processor, a lay rating from at least one rating score built from several weighted parameters, provided by a respective lay consumer; calculating, by the computer system, an expert rating calculated from at least one rating score built from several weighted parameters provided by a respective expert; receiving, by the end user, using the computer system, a selection of a respective weight for each of the lay rating and the expert rating by an end-user via a graphic user interface (GUI); calculating, by the computer system, a total rating as a result of a weighted average biased according to the respective weights selected by the end-user; and displaying, by the computer system, the total rating on the GUI.

Abstract: Embodiments of the present disclosure provide network live-broadcasting methods and devices. The method can include: obtaining live-broadcasting data from a server side; obtaining service data from the server side; determining whether the obtained live-broadcasting data contains key information, wherein the key information is inserted by a live-broadcasting side in the live-broadcasting data when predetermined content corresponding to the service data is included in the live-broadcasting data; and outputting, in response to receiving the key information, the service data on a playing interface of the live-broadcasting data, so that the service data is output synchronously with the predetermined content.

Abstract: A service provider system receives case data of a client from a client service system. Vector data is collected from the case data through integration and aggregation. Signals of anomalies or sentiments are detected through machine learning from the integrated and aggregated vector data. The signals are validated, consolidated and associated with case, contact, and client object types. A user interface presents the validated and consolidated signals to users who proactively take action based on the signals. The user interface includes dashboards, notifications, and indicators.

Abstract: Embodiments of the present invention relate to a platform for controlling production and distribution of consumable items based on machine learning processes derived from chemical profiles of the consumable items.

Abstract: One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A request for content associated with a client device may be received. Bid values and/or click probabilities associated with content items may be determined. A probability of receiving a negative signal associated with a content item of the content items from the client device responsive to presenting the content item via the client device may be determined based upon a user profile associated with the client device. A content item score, of content item scores associated with the content items, may be generated based upon the probability, a click probability and/or a bid value associated with the content item. The content item may be selected from the content items for presentation via the client device based upon the content item scores. The content item may be transmitted to the client device.

Abstract: A system for improving distributed network data flow efficiency by using a machine learning model. The system utilizes a personal data set of at least one user and generates a model during training of the machine learning program utilizing at least one neural network with a training data set including the personal data set of the at least one user. The model provides targeted actions based upon analysis of the personal data set of the at least one user and sends a communication to an agent device of an agent, wherein the communication includes the at least one targeted action.

Abstract: A method and system for distributed management and maintenance of remote transmitters, or beacons, via a remotely hosted integrated software platform and the interaction of the beacons with mobile devices in an environment where the beacons are located.

Abstract: A method for matching a vehicle with a user including receiving a user ride request for a vehicle from a plurality of available vehicles from a user, receiving a threshold vehicle risk score preference for the user, receiving a user risk score for the user, receiving a threshold user risk score preference for the plurality of available vehicles, identifying a subset of the plurality of available vehicles having a vehicle risk score at or below the threshold vehicle risk score preference of the user and a threshold user risk score preference at or above the user risk score of the user, and presenting the user with ride options for selecting one of the subset of the plurality of available vehicles of the subset of available vehicles for the user ride request.

Abstract: Embodiments as disclosed provide data processing systems and methods for controlling an automated survey system. One embodiment comprises: a processor; a data store storing a plurality of transactions thereon, each transaction comprising transaction metadata and a voice session recording of an inbound call, the transaction metadata for each transaction comprising an identifier for that transaction; a non-transitory computer readable medium having instructions executable on the processor for: generating, by the processor, a worklist for the survey campaign to control conducting of surveys by an automated survey system that is configured to execute the worklist, the worklist comprising a work item for each of the set of transactions and each work item comprising transaction identification data for a transaction from the set of transactions and contact information for the survey target for the transaction corresponding to the transaction identification data in the work item.

Abstract: A method by which a server performs specialist platform control is provided. In order to resolve the aforementioned problem, the control method comprises the steps of: registering the specialist; acquiring specialist information of the registered specialist; computing career information of the specialist on the basis of the acquired specialist information; matching a project corresponding to the specialist on the basis of the career information of the specialist; acquiring project data computed according to the project performance result when the matching project is performed by the specialist; and updating the career information of the specialist on the basis of the project data.

Abstract: Systems of the present disclosure may ingest content from a plurality of data sources with the content including ingested documents referencing entities and events relevant to the ESG signals. The content may be stored in a content database. The System may also identify metadata and a body of text associated with each document to produce a set of preprocessed documents. An entity may be tagged to a first preprocessed document from the set of preprocessed documents, and the document may include a first document identifier. The System may generate an event score related to a first ESG signal including a direction and a magnitude associated with an event identified in the body of text. The event score may be tagged to the document. The system may write to an unstructured data set the document identifier in association with the tagged entity and the tagged event score for delivery.

Abstract: A payment system includes: an acquisition unit that acquires an image including a payment target product; an estimation unit that estimates a product that corresponds to an object identified from the image; a display unit that displays information on the product in association with the object; a reception unit that receives input indicating intention to register the object, which indicates whether to register the object as the payment target product, from a user; and a registration unit that registers the object in accordance with the input. The registration unit registers the object as the payment target product upon receiving an input indicating that the object should be registered, and does not register the object as the payment target product upon receiving an input indicating that the object should be excluded from the payment target products.

Abstract: Methods are provided in which a computing device obtains telemetry data associated with a network technology used in an enterprise network and an enterprise network profile that includes information about the complexity of the enterprise network. The network technology is deployed at one or more devices of the enterprise network. The methods further include the computing device determining, based on the telemetry data, for each deployment of the network technology, a current stage from a plurality of stages of an adoption lifecycle to which the network technology progressed, determining a time estimate for completing the current stage of the adoption lifecycle, based on the enterprise network profile and an adoption benchmark generated from a plurality of activities performed for progressing along the adoption lifecycle, and evaluating an adoption of the network technology, using the time estimate, to progress the network technology along the lifecycle.

Abstract: A system for identifying potential leaders in corporate roles is disclosed. List the individual components of elements that make up the best version of your invention. This includes all steps, decisions, and any necessary physical items. Only the component itself. Number each item according to its number on any accompanying drawings.

Abstract: This disclosure describes systems, methods, and devices related to predictive modeling for evaluating vehicles. A device may receive a customer identifier (e.g., a user identification number, a social security number, driver license number, etc.). The device may retrieve credit data associated with the user identifier and vehicle data associated with a vehicle. The device may determine a first weight for the credit data and a second weight for the vehicle data. The device may determine, based on the first weight and the second weight, a value. The device may determine whether or not the value exceeds a profitability threshold. The device may determine a loan information associated with the customer identifier. The device may send a first indication of the product or service to a user device for presentation. The device may send a second indication of the loan information to the second device for presentation.

Abstract: Enhanced survey information synthesis can include performing a respondent assessment of a survey respondent based on respondent data obtained electronically from one or more electronic data sources. Survey responses provided by the survey respondent can be adjusted, the adjusting based on the respondent assessment. A revised survey can be generated, the revised survey comprising the survey responses adjusted based on the respondent assessment.

Abstract: Systems and methods for determining and rewarding accuracy in predicting user-provided ratings of content provided by other users are disclosed.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Abstract: Geo-fences may be dynamically reconfigured to identify employees that may be of particular interest to users. In some instances, a geo-fence may be defined for a particular user based on a variety of information, in order to identify employees that may be of interest to the user and that are located within proximity to the user. The system may identify employees based on a confidence score that a particular employee or set of employees may have assisted the user during the shopping process. Information regarding the identified employees may be displayed or otherwise output to notify the user of nearby employees that may be of interest, for example in the form of an interactive digital receipt.

Abstract: One embodiment provides for a method for evaluation of an artificial intelligence (AI) service, the method includes partitioning, by a processor, data into in-domain data and out-of-domain data. The processor defines held-out data from both of the in-domain data and the out-of-domain data for evaluation by each of domain and sub-domain based on building a taxonomy of both domains and sub-domains for the AI service. The held-out data is excluded from training data used for training the AI service. The processor further determines distribution underlying performance metrics for the held-out data using bootstrap validation processing. The processor also determines performance guarantees for multiple settings conditioned on multiple characteristics of an application scenario for the held-out data of the taxonomy based on the underlying performance metrics.

Abstract: The present disclosure relates to methods, systems, and apparatuses for providing electronic communications to client devices based on clustering and filtering candidates for inclusion in the electronic communications based on programmatically generated correlation metrics and thresholds associated with the clustering.

Abstract: A system, method, and computer-readable medium for determining customer adoption based on monitored data, including receiving product usage parameters from a product data store on the computer network, each product usage parameter being determined based on tracking usage of the product by the customer over a predetermined time period, storing a customer profile for the customer comprising customer parameters, the customer parameters being determined based on customer information stored in a customer database on the computer network, receiving service parameters from a customer support data store on the computer network, each service parameter being determined based on tracking support services provided to the customer for the product over the predetermined time period, and generating a product adoption score by applying a machine learning model to the product usage parameters and the customer profile to generate a usage-based adoption score and adjusting the usage-based adoption score based on the service par

Abstract: To present one or more content items to users of an online system, the online system identifies a content evaluation pipeline including an order of a plurality of stages having one or more computer models for evaluating a likelihood of user interaction with a content item. The content evaluation pipeline selects a decreasing number of content items, from each stage of the order, according to the order of the stages. The online system optimizes the selection of content items selected at the plurality of stages of the content evaluation pipeline by training the computer models to predict content selection values that the subsequent model would generate for a content items in a training data set and content items that the subsequent model would select for input to the next stage of the content evaluation pipeline.

Abstract: A computer implemented method for tracking and securing user data, the method including providing a user data vault that stores user data, providing the user data to display on a user interface, collecting access rights and permission settings, storing the access rights on a blockchain consent network, and providing access to remote users. The system and methods utilize blockchain technology, encryption, and a novel data structure (e.g. consent tokens) that enhance the security, transparency, and user experience regarding user data collection.

Abstract: A method for holistically ranking medical student and medical residency matching including, generating an applicant profile, determining a diversity score as a function of data in the applicant profile, determining a competency score as a function of data in the applicant profile, and calculating a representative score as a function of the diversity score and the competency score. Further, the method includes presenting, via a graphical user interface (GUI) a graphical representation of the representative score.

Abstract: Provided is a method of operating a gateway performing communication between a server and a wireless communication terminal, the method comprises receiving, by the gateway, identification information of the wireless communication terminal and sensing data related to the wireless communication terminal and controlling, by the gateway, setting of the wireless communication terminal based on identification information of the gateway and both the received identification information of the wireless communication terminal and the sensing data, wherein the identification information of the gateway comprises information about an area in which the gateway is installed.

Abstract: Systems and methods are described for selecting a sound type of interest from a first (e.g., master/global) machine learning library comprising information derived from reference audio stream data acquired from a plurality of farm animal operation reference sound monitoring events, including from a first farm animal operation monitoring event of a first farm animal operation, wherein the sound type of interest is associated with a condition state of interest of a first collection of farm animals. Further, information associated with the selected sound type of interest can be included a second machine learning library, wherein the second machine learning library is operational on an edge computing device located in proximity to a second farm animal operation.

Abstract: A computer-implemented method, computer program product, and computing system for receiving a contribution for a social platform from a client; funding the social platform; and calculating a contribution ROI experienced by the client as a result of the contribution to the social platform.

Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.

Abstract: An object tracking system includes a first sensor, a second sensor, and a tracking system. The first sensor is configured to capture a first frame of a global plane for at least a first portion of a space. The second sensor is configured to capture a second frame of at least a second portion of the space. The tracking system is configured to determine the object is within an overlap region with the second sensor based on a first pixel location. The tracking system is further configured to determine a first coordinate in the global plane for the object, to determine a second pixel location in the second frame for the object based on the first coordinate, and to store the second pixel location with an object identifier a tracking list associated with the second sensor.

Abstract: Enhanced survey information synthesis can include performing a respondent assessment of a survey respondent based on respondent data obtained electronically from one or more electronic data sources. Survey responses provided by the survey respondent can be adjusted, the adjusting based on the respondent assessment. A revised survey can be generated, the revised survey comprising the survey responses adjusted based on the respondent assessment.

Abstract: The present invention supports the entry of customer experience feedback into the system, which then conducts real-time automated filtering and evaluation of feedback entered by the customer and supports the transmission of real-time notifications to selected personnel based on feedback evaluation in a flexible messaging and workflow system. The present invention supports that ability to obtain constructive feedback, either good or bad, regarding a customer's experience while the customer is still at the service provider or retail sales location and supports the ability to obtain feedback after the customer has left the service provider or retail sales location through follow-up messages.

Abstract: Systems and methods are described for managing the application of data management actions to one or more data objects in a data store. The systems and methods extract at least a portion of a first set of data objects from a data store to a file, wherein a first data object of the first set of data objects comprises a first set of attributes and a set of data management actions. A second set of data objects is loaded into the data store. A confidence score is generated based on a comparison of the first data object of the first set of data objects and a second data object of the second set of data objects. A determination is made that the confidence score satisfies a condition. In response to the confidence score satisfying the condition, the set of data management actions is applied to the second data object.

Abstract: In certain embodiments, resource usage in a data retrieval process may be reduced. In some embodiments, a graph query related to a data request may be obtained. The graph query may be transformed into a query set based on a graph data model and patterns of the graph query. Upon generation, the query set may include queries and query operators linking the queries, where the query operators include a first query operator linking first and second queries of the queries or other query operators. Prior to execution of the first and second queries, a satisfiability issue may be predicted, where the satisfiability issue is related to combining results derived from the first and second queries. Based on the prediction, the first query operator may be removed from the query set to update the query set. The updated query set may be executed to satisfy the graph query.

Abstract: An environmental pertinence interface generated by an example apparatus, method, and computer program product is provided. The apparatus receives an interface request from a mobile device and location data relating to the mobile device. The apparatus queries a database to identify environmental objects that satisfy a proximity threshold. The apparatus identifies environmental pertinence digital content items when the proximity threshold is satisfied. The apparatus applies user permissions rules to determine a user-permitted environmental pertinence digital content item set and generates an environmental pertinence interface for display by the mobile device.

Abstract: Various methods, apparatuses/systems, and media for implementing a data book application module is disclosed. The processor identifies an application that needs to be scanned through a data factory; receives inventories of all servers and databases associated with the data factory; scans the servers and databases for receiving inventories of schema, tables and columns associated with the application; and applies artificial intelligence (AI) and/or machine learning (ML) routines and matching algorithms for matching contents of columns to predefined logical terms. The processor also converts the contents of columns into taxonomies associated with the predefined logical terms; matches the taxonomies with the corresponding predefined logical terms; assigns a probability of accuracy value to the matched terms; and populates a data catalog with the matched terms when the assigned probability of accuracy value satisfies a predetermined threshold value.