Abstract: A system and method to identify and track one or more targets of interest. The system may include a plurality of collection systems to capture information related to visual identifiers and/or electronic signatures associated with targets in selected locations. The system may further include an intelligence system to determine a target of interest based on the information related to visual identifiers and/or electronic signatures and to track the target of interest.

Abstract: A computing system that determines employee and organizational compliance includes one or more databases that store organizational data and one or more processors to execute instructions to perform various operations.

Abstract: An apparatus for success probability determination for a user is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a plurality of criteria; generate indicators as a function of the criteria; receive user specifications, the user specifications comprising credentials of a user; and classify the user specifications to a performance category of a plurality of performance categories based on the user specifications and the indicators.

Abstract: Systems and methods to generate units of work within a collaboration environment based on video dictation are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment; responsive to the user-initiation of video dictation sessions, obtain video information characterizing content of the video dictation sessions; responsive to detection of completion of the video dictation sessions, generate one or more units of work for the users based on the content of the video dictation sessions; responsive to detection of completion of the video dictation sessions generate, store the video information as part of the environment state information; and/or perform other operations.

Abstract: In some implementations, a device may obtain interaction data for an evaluator in a communication session with an individual based on interactions of the evaluator with the individual during the communication session, wherein the evaluator is to provide the evaluation of the individual. The device may obtain evaluation information identifying the evaluation of the individual by the evaluator. The device may determine a degree of bias of the evaluator toward the individual during the communication session based on at least the interaction data. The device may adjust the evaluation of the individual based on the degree of bias of the evaluator.

Abstract: A first request to establish the trusted relationship via the online gaming platform between the first user account and other user accounts of the gaming platform is received. A second request to establish the trusted relationship between the second user account and other user accounts of the gaming platform is received. Whether the first client device corresponding to the first user account is within a defined physical range with respect to the second client device corresponding to the second user account is estimated. Responsive to estimating that the first client device is within the defined physical range with respect to the second client device, the trusted relationship between the first user account and the second user account via the online gaming platform is established and additional functionality that enables the first user account and the second user account to interact via the online gaming platform is enabled.

Abstract: In an aspect, an apparatus for wage index classification is disclosed. The apparatus may include a processor and a memory. A processor may be configured to receive a wage index from a user. A processor may also extract a candidate datum from a plurality of candidates. Candidate datum is then classified to a wage index classification data. This may be achieved through training a wage index classifier using candidate training data correlating candidate data elements to wage index classification data elements and classifying the candidate data to the wage index classification datum using the wage index classifier. A processor may then generate a wage compatibility score as a function of wage index classification data and a posting datum. Then a processor may be configured to transmit to a display device configured to display a wage compatibility score.

Abstract: Approaches presented herein enable dynamically determining a validity of a return. More specifically, a system obtains a return request from a customer, a transaction history of the customer, and a set of return policy rules. A generative adversarial network (GAN) trained to detect non-genuine returns is applied to the return request. The GAN uses, among other this, the transaction history of the customer and the set of return policy rules as parameters of the GAN. Based on an output of the GAN, at least one return processing action is recommended and implemented.

Abstract: A system and a method are disclosed for providing specific items in an accommodation for a user. The system may parse an accommodation review for an accommodation left by a subscription living user. The system may determine an item type that the subscription living user mentioned in the accommodation review. The system may identify a specific item for the item type mentioned by the subscription living user. The system may determine that the subscription living user will be staying in a subsequent accommodation. the system may provide, for display to the subscription living user, a rendering of the specific item superimposed on an image of the subsequent accommodation. The system may transmit, automatically in response to the user booking the subsequent accommodation, a request to a vendor to provide the specific item for the subsequent accommodation.

Abstract: A method and system for quantifying a lack of parity for a subjective data set and an objective data set within an injury profile report. The method and system analyzes and inspects each subjective and objective data set and compares these data sets to a historical accuracy database to find a lack of agreement or non-parity of the data sets. The method and system quantifies the lack of parity, creates an injury profile report and proscribes any functional limitations for the injured worker. The output can be used to assign safer and more accurate functional limitations and assign safer and more accurate functional limitations to support a safer return to work event for the inured worker after injury.

Abstract: Embodiments of the present invention include a computer program product, a computer system, and a computer-implemented method for generating a data model that machine learns from social media postings to determine whether social media postings will gain traction.

Abstract: A computer system provides, via a network, information to an employment candidate regarding an available job, including a description of the job and questions for the candidate, wherein the information is configured for presentation on a device used by the candidate. The computer system receives from the device via the network and in response to the information being presented to the candidate, answers of the candidate and inputs indicating actions of the candidate other than the answers. The computer system determines, responsive to the inputs, a metric indicating an evaluation of the candidate.

Abstract: Systems and methods for automated personalized customer service are disclosed. In embodiments, a method comprises: determining, by a computing device, at least one object from a plurality of objects within a venue matches a search query received from a user; assigning to the user, by the computing device, a select lighting type from a plurality of available lighting types, wherein the select lighting type is not available for the computing device to assign to other users while assigned to the user; providing, by the computing device, a notification to the user regarding the select lighting type; selecting, by the computing device, a target lighting device from a plurality of lighting devices within the venue, the target lighting device being associated with the at least one object; initiating, by the computing device, a first illumination event of the target lighting device based on the select lighting type.

Abstract: An online system receives a content item from a user and provides the content item for display to the user's connections. The online system receives interactions performed by the user's connections with the content item. From the content item and the interactions, the online system extracts features to be input into a model. The model is trained to determine whether the content item should be classified as a life event and in which category. Based on output from the model, the online system classifies the content item as a life event in a particular category and provides an option to the user to upgrade the content item into a life event item of the particular category. Upon receiving the user's agreement to upgrade, the online system generates a life event item specific to the particular category and provides the life event item for display to the user's connections.

Abstract: Modification of a user skill profile based upon social presence includes receiving a document indicating skill competencies of a user, and analyzing the document to determine a first model. The first model includes skill competencies indicated within the document. A social media profile associated with the user is received. The social media profile is analyzed to determine a second model. The second model includes current skills competencies of the user indicated by the social media profile. The first model and the second model is compared to determine missing skill competencies, the missing skill competencies including current skill competencies in the second model that are missing from the document. The document is modified to include the missing skill competencies.

Abstract: The present invention provides a method, computer program product, and system of generating prioritized list. In an embodiment, the method, computer program product, and system include receiving, by a computer system, target user identification data identifying a target user, target action data, social network content for the one or more users, and social network activity data for the one or more users, analyzing, by a computer system, social network links between the source user and the target user and the social network activity data for the one or more users, determining, by a computer system, a prioritized list of probabilistic action paths that could result in the target user performing the target action on the content based on the analyzing, and outputting the prioritized list to the source user.

Abstract: Operations include recommending and presenting academic programs for students. An academic program recommendation model generates recommendations based on a target student's specific characteristics. An academic program is recommended to the target student if the target student's characteristics match the characteristics of other students that have successfully completed the academic program. An academic program is not recommended to the target student if the target student's characteristics match the characteristics of other students that have failed to complete the academic program after some threshold period of time. The system presents an interface for comparing multiple academic programs that have been evaluated in view of a target student's specific characteristics. The interface concurrently lists each of a set of academic programs with a corresponding likelihood of success determined for the target student.

Abstract: Aspects of the present invention provide devices that generate a job description by generating at least one job description according to a plurality of job areas and a linguistic model trained on a plurality of cataloged job descriptions, each job area including one or more assigned job skills, and displaying the generated at least one job description on a display device.

Abstract: A method and system for improving a machine learning technical support applicant selection process is provided. The method includes retrieving and analyzing, in real time, job role data, resume based data, and sensor data associated with a plurality of individuals. A specialized memory repository is generated within a specified portion of a hardware memory device and results of the analysis are stored within the specialized memory repository. Self-learning software code for executing a job applicant selection process is generated and a plurality of current resumes and previously generated time-based resumes are retrieved for current job applicants for a specified position. The current resumes are analyzed with respect to the previously generated time-based resumes and associated inconsistencies are determined. A first job applicant is selected and the self-learning software code is modified.

Abstract: This patent application relates to compliance management techniques for interactively managing an entity's compliance. Entities can remain compliant by utilizing an interactive compliance status dashboard and other compliance tools that allow the entity's current compliance status can be interactively tracked and presented via the dashboard.