Abstract: Item images and item information for an item identified as being associated with a potential theft during a transaction at a transaction terminal are sent in real time to an alert controller of a management terminal. The item images and item information with transaction details are presented on a display for resolution by a clerk operating the management terminal. A timer is also set and a confidence score calculated representing a confidence level that the item is the subject of theft. When the timer expires and there is still no resolution provided by the clerk a decision is made as to whether to interrupt the transaction processing on the transaction terminal for assistance or whether to permit the transaction to complete on the transaction terminal based on the calculated confidence score.

Abstract: A queue management system is provided having a customer device and service provider computing devices in different service provider facilities. The customer device is configured to prompt customers to select a services, receive a customer service request, and facilitate communication between the customer and a service provider in a first service provider facility. The system includes a server that receives availability information for service provider computing devices; generate virtual queues; receives a customer service request from a customer device identifying service type requested; assigns the customer service request to a virtual queue based on the availability information associated with the plurality of service providers and the service type requested; and notifies the customer of the assignment. The server is configured to consider a virtual queue for both an in-person service provider and a remote service provider when determining the virtual queue that the customer should be assigned to.

Abstract: The invention provides methods, systems and computer program products for implementing social networks that provide for reliable verification and validation of user content. In an embodiment, the invention enables implementation of social networks that enable recordation and validation of social contributions of members.

Abstract: Implementations generally relate to a method of matching job-seekers and employers in real-time with low required effort by the job-seekers and employers. A system-wide taxonomy is used in matching job-seekers and employers, thereby reducing the time for the recruiting process. Employers create a job position, and specify the relative importance of traits associated with the job position. Job-seekers answer profile questions (e.g. work experience), and the system uses the taxonomy to generate a list of job-seeker skills based on the answers to these questions. A list of job-seekers is then generated for the job position based on a mapping of the available job-seekers' skills and the employer rankings of the job position traits. A number of additional factors, like job seekers' in-app engagement, are used to further sort and filter the list of job-seekers.

Abstract: Systems and methods may involve processing of entity data by machine learning models to produce one or more aggregate risk scores, which may be compared to one or more thresholds to determine when one or more predefined actions should be taken. The entity data may be collected for various entities related to an exam registration and delivery process, which may include a candidate, an exam, a test center, an exam registration event, a proctor, and an exam delivery event. The exam registration and delivery process may include multiple states—each being associated with a different set of entities. Aggregate risk scores for a given state may be calculated using only entity data for the set of entities associated with that state. The predetermined actions taken may also be dependent on the current state.

Abstract: A method and system for determining collaboration between employees is disclosed. In some embodiments, the method includes receiving a plurality of collaboration parameters associated with a set of employees. The method further includes creating a plurality of employee nodes associated with the set of employees in a hierarchical tree, based on the plurality of collaboration parameters and a first pre-trained machine learning model. The method further includes generating a plurality of vector embeddings associated with the plurality of employee nodes, based on the first pre-trained machine learning model. The method further includes determining a degree of collaboration between at least two employees from the set of employees based on one or more vector embeddings from the generated plurality of embeddings.

Abstract: An apparatus for selection based on a probabilistic quantitative field, the apparatus comprising at least a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to generate a time series model configured to generate a probabilistic quantitative field of a posting, wherein the generation includes receive a generation request from a user and generate the probabilistic quantitative field of the posting as a function of the generation request and a machine-learning model, determine if a hosting aggregator will host a posting or not as a function of the probabilistic quantitative field and a preconfigured threshold value, and create a prioritization list for a user as a function of the determination if a hosting aggregator will host a posting or not and the probabilistic quantitative field.

Abstract: A voice-initiated item search is received along with a current geolocation of a device from which the voice-initiated item search was initiated. The search is translated to text, and the text search and the current geolocation are submitted as a search to locate an enterprise within a configured distance of the current geolocation and to locate a specific location for an item within that enterprise. The enterprise and the specific location for the item are provided back to an operator of the device as search results in voice and/or text. The geolocation represents a location of a consumer and the results provide enterprise specific item-level detail and item-location information for the item within an enterprise location for the consumer to quickly navigate to the item.

Abstract: Systems, methods, and computer-readable media are provided for hybrid guidance of a communication session. In one aspect, a system includes one or more processors configured to execute computer-readable instructions to receive an inquiry from a user terminal; stream the inquiry to one or more support terminals configured to provide live support for the inquiry; determine if an automated response to the inquiry is available; and provide one of the automated response or a live response to the inquiry based on whether the automated response to the inquiry is available or not.

Abstract: Disclosed are methods, systems, and devices for identifying anomalous and/or problematic payments based on past payment patterns of a user, past experiences with the user, and the user's circumstances, and implementing intervention mechanisms for proactively resolving account issues before downstream impacts, such as collections calls, inbound calls, and complaints. Anomalous payments may be detected using clustering and prediction. Interventions may include phone calls, emails, notifications, etc. An alert or notification may be sent to the user's mobile application, and various selectable response options suited to the situation may be presented to the user.

Abstract: A system and a method for promoting a tutor on a platform. The system receives a tutor profile from the tutor. The tutor profile comprises a set of information about the tutor and a first cohort of students assigned to the tutor. The system randomly assigns a question received from a student belonging to a second cohort of students to the tutor in real time. The system further receives an answer to the question from the tutor. Further, the system analyses the answer based on a machine learning model. Subsequently, the system requests feedback about the tutor from the student of the second cohort of students. The system evaluates the tutor based on the plurality of parameters and the feedback receiving using deep learning algorithms. Finally, the system promotes the tutor for a group coaching of the students on the platform.

Abstract: Techniques for automatically collecting data and updating social media profiles based on sensor data are discussed herein. A system can comprise an activity identification component that based on sensor data received by the activity identification component, identifies an activity associated with an entity of a mobile device, resulting in an identified activity. Additionally, the system can comprise an updating component that based on the identified activity, updates a social media profile associated with the activity with activity data related to the identified activity.

Abstract: Matching a customer with a representative is performed for assisting the customer with an issue. Information related to the customer, the issue, historical information, and other customer information may be used to determine a likely issue. A representative may be selected in real-time to assist the customer in resolving the issue based on the customers experience in resolve the same or similar issues to the likely issue and the information related to the customer and the representative may be updated dynamically in real-time.

Abstract: Improved systems and methods of facilitating placement of candidates between employers and recruiters are provided. In various implementations, such systems and methods provide an integrated interface within the ATS platform for employers and integrated interface within the talent platforms for recruiters. In another implementation, a talent platform exchange is provided that permits disparate talent platforms to communicate and thus more effectively manage the hiring process from within the platform. To this end, interfaces and other components may be provided which facilitate communication between talent platforms and a talent platform exchange. Such communication capability would enable a direct hire marketplace where employers engage recruiters to fill positions through their presently implemented ATSs.

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: Improved systems and methods of facilitating placement of candidates between employers and recruiters are provided. In various implementations, such systems and methods provide an integrated interface within the ATS platform for employers and integrated interface within the talent platforms for recruiters. In another implementation, a talent platform exchange is provided that permits disparate talent platforms to communicate and thus more effectively manage the hiring process from within the platform. To this end, interfaces and other components may be provided which facilitate communication between talent platforms and a talent platform exchange. Such communication capability would enable a direct hire marketplace where employers engage recruiters to fill positions through their presently implemented ATSs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for assisting an agent in providing support to a customer. The methods, systems, and apparatus include actions of obtaining interaction information regarding an interaction between a customer and an agent, identifying the customer from the interaction information, aggregating the information regarding the customer from multiple sources, determining an intent of the customer from the interaction information and the aggregated information, determining a sentiment of a customer from the interaction information and the aggregated information, determining a particular action to indicate to the agent based on the aggregated information, the intent, and the sentiment, and generating an interface to provide the agent based at least on the particular action.

Abstract: Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.

Abstract: Systems and methods for distributed, automated management of brownfield real estate asset remediation and/or redevelopment, including at least one server computer for analyzing and providing recommendations for a potential brownfield investment, wherein the at least one server computer is paired with a web-based graphical interface for accessing and editing stored documents, pictures, tasks, and budget information related to at least one brownfield asset.

Abstract: Machine learning-based approaches are used to detect trends of behavior and anomalous events from customer support messages between customers and customer support agents or other appropriate resources in an electronic environment. For example, for a plurality of time periods, a prediction model can be trained. The prediction models can be trained on messages that correspond to each prediction models' period of time. The prediction models can process messages to determine a score (e.g., a representative confidence score) for the time period a prediction model is associated with. For a selected time period, a model (e.g., a trend detection model) can be applied to the scores for time periods before the selected time period to determine whether the score for the selected time period is associated with an anomalous event. Thereafter, an alert can be presented with, for example, the messages that triggered the alert, among other such information.