Abstract: A computing device includes a processor and associated memory. The processor is configured to execute a personal information management service stored in memory to send a first calendar entry for display on a calendar interface for a user. The first calendar entry is for a first account of the user of a first domain. The processor sends a second calendar entry for display on the calendar interface. The second calendar entry is for a calendar of a second account of the user of a second domain. The processor receives a request for an availability of the user from a requesting user having a third account of the first domain. In response to the request, the processor sends to the requesting user the first calendar entry including first calendar entry details, and the second calendar entry without second calendar entry details.

Abstract: Computing device state or activity based task reminders and automatic tracking of statuses of task-related activities are provided. Users are enabled to create reminders that are triggered based on a device state of the user's device or activity signals from the operating system, an application, or a user file. The status of a task item can be inferred from signals collected from one or more sources. The signals provide information associated with tasks that the user performs in various life events. Machine learning, statistical analysis, behavioral analytics, and data mining techniques are applied to the signals, and the user's activities are mapped to task items that the user has created. An inferred status of a task activity can be shared with other systems, or can be used for a variety of functions (e.g., to automatically update the user's task list, or to remind the user of an uncompleted task item).

Abstract: A dynamic experimentation evaluation system provides a framework in which a continuous stream of metric data is monitored to establish a causal relationship between changes in a software program and the effect of user-observable behavior. In one aspect, an A/B test is performed continuously on a stream of metric data representing the usage of a control version of software product and the usage of a treatment version of the software product. A sequential probability ratio test (SPRT) is used as the test statistic to determine when to terminate the test and produce results within a specific confidence interval and controlled error rate.

Abstract: A system and method are provided for connecting individuals for accompanied transportation. A method includes receiving input from a traveller, including transportation parameters, receiving input from a pre-authorised companion, including transportation parameters, and executes a transportation optimisation step including comparing transportation parameters and an assessment of one or more safety related parameters. The method then presents one or more optimised transportation proposal for acceptance by the traveller. Upon registering traveller selections and acceptance of the transportation proposal, the method notifies the traveller and selected companion and provides to the traveller or companion verification means prior to or at the accepted meeting time to enable verification of identities of the traveller or companion upon meeting.

Abstract: Methods and systems for buyback provisioning. A risk level for each of a plurality of items at risk of losing market value is computed and the plurality of items at risk of losing market value are differentiated based on the corresponding risk levels. An identity of candidate substitute items is learned by communicating with a distribution system and one or more of the candidate substitute items to exchange for one of the plurality of items are identified based on one or more contextual factors. An exchange of the item and at least one of the candidate substitute items is facilitated, the facilitating comprising highlighting the item on a graphical user interface to indicate that the item is losing value or is at risk of losing value.

Abstract: A method may include retrieving from a data store default values of intersections of a first type of characteristic of an entity and a second type of characteristics of the entity; presenting a first portion of a user interface on an electronic display device, the first portion of the user interface including an initial matrix of: a plurality of rows, a plurality of columns, wherein, the rows columns intersect to form a plurality of cells and the cells are populated with values based on the retrieved default values. The method may further include receiving a maturity value; calculating a weighted matrix of values based on the received maturity values; applying the weighted matrix to the values of the cells in the initial matrix to generate adjusted values for each of the cells in the initial matrix; and presenting an adjusted matrix based on the adjusted values.

Abstract: Driving behavior for a particular driver may be gathered and analyzed over a time period, such as a year or a duration of the driver's employment at a particular employer. The driving behavior is received by a server from a positioning device as multiple streams of position data at different time stretches throughout the time period, each stream of position data associated with a route of a plurality of routes driven by at least one vehicle. The server generates speed data from the streams of position data and compares the speed data to retrieved speed limit data for those routes. The server generates a report with at least a speeding percentage value corresponding to how often the driver was speeding while driving during the time period. The report is then sent to the driver's computing device.

Abstract: A method of determining a Trac score representing an individual's future employment behavior using past and present employment behavior that are unrelated to skills and job match within a job and across multiple jobs of an individual when combined with public and available external records. A method employing a Trac score calculation system comprises at least one processor to execute computer program instructions for obtaining one or more ratings from one or more users through one or more user devices connected to the Trac score calculation system that assigns the credibility to the ratings. A combination of the Trac sub-score obtained by accumulating the ratings weighted by estimated credibility of each rating, and Adjustment sub-score obtained by processing available external records in public and private forms, creates a Trac score which is a numerical and reflects an aggregation of available data weighted by what is believed to affect the employment behavior.

Abstract: An optimized lead generation, management, communication, and tracking system is disclosed. In particular, the system may allow for the automation of business, clinical, and computing activities for a practice, organization, business, or other entity. The system utilizes a comprehensive and robust online portal with digital software functions and digital communications capabilities to accomplish tasks that are traditionally performed by personnel or unable to be performed by personnel. For example, the system is capable of attracting, screening, and scheduling patients for procedures to be performed at a medical practice. Additionally, the system may communicate with a patient before and after a medical procedure, track patient outcomes after a patient undergoes a procedure, and calculate key performance metrics and indicators specific to the entity and/or the procedure.

Abstract: A plant evaluation system is configured to calculate performance of a plant while receiving setting of operating conditions of the plant and devices installed in the plant and simulating a secular change occurring in the plant during an evaluation target period included in the operating conditions. At least one of the devices is added, a selection of a component improving performance of a certain device is received, and an improvement of the performance of the device by the component is expected and the performance of the plant is calculated.

Abstract: A method and system for detection, classification and prediction of user behavior trends using correspondence analysis is disclosed. The methods and systems reduce the n-dimensional feature space to a lower dimensional space for easy processing, improved quality of emerging clusters and superior prediction accuracies. Further, the method applies the correspondence analysis so that each user is assigned with a new coordinate in the lower dimension, which maintains a similarity, difference and the relationship between the variables. Once the correspondence analysis is completed, clustering or grouping of the coordinates based on the similar trends of the users is performed. Further, unlabeled cluster members are assigned class membership proportional to the labeled samples in the cluster. Finally, the method predicts the future actions of the users based on the past trends that are observed from the labeled clusters.

Abstract: The present invention provides a computer system providing an advice on communication. The computer system (100) of the present invention is configured to receive characteristics of a plurality of users (S501), to mutually compare the characteristics of two users out of the plurality of users (S502), and output an advice on communication between the two users on the basis of the comparison of the characteristics of the two users (S503).

Abstract: Techniques for risk evaluation include receiving, from a requesting entity, a request for monitoring target entities specifying a first identifier associated with each target entity and target entity information. The system generates a second identifier and a third identifier for each target entity and stores a mapping of the second identifiers to the first identifiers and the third identifiers, preventing the second identifiers from being provided to the requesting entity. The system monitors a periodically updated data set and determines risk metrics for the target entities, comparing each risk metric to a threshold value to identify target entities whose risk data indicates an insider threat. The system generates a third identifier for the identified target entities and provides the third identifiers to the requesting entity. Responsive to a request for a corresponding first identifier, the system identifies and provides the first and third identifiers to the requesting entity.

Abstract: In a method for monitoring a tracked parameter for a set of targets, a first methodology is applied during a current time interval to acquire observations of the tracked parameter for a selected sub-set of the set of targets. A second methodology is applied during the current time interval to acquire observations of the tracked parameter for at least those targets that are not in the selected sub-set of the set of targets. A variance forecast is generated for an upcoming time interval for each target based on a current variance for the target and on either observations acquired using the first methodology or using the second methodology. The selected sub-set of the set of targets is updated for the upcoming time interval to maximize an aggregation of variance forecasts over the updated selected sub-set of the set of targets.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for a wearable device coded for user operational compliance. In this way, the invention comprises system integration of a wearable device for user performance and compliance of operational requirements within user obligations. The wearable device logs time of user initiation of obligations for timekeeping and is programmed for gatekeeping for physical and digital access to user authorized locations and data points. The wearable device codes for generating requests for access to non-authorized locations and data points for temporary needs of the user for obligation fulfillment.

Abstract: Described herein is a system and method for predictive curation, and production infrastructure. In certain embodiments, the system includes a user interface, which may take the form of a “virtual curator,” a graphical or animated persona for augmenting and managing interactions between the user and the system managing the user's stored media assets. The virtual curator can assume one of many personas, as appropriate, with each user. Embodiments of the system leverage data points, calendar entries, trends, behavioral patterns to predict and pre-emptively build digital and printable products with selected collections of images without the user's active participation.

Abstract: A computer-implemented method includes assigning an auditor weight to each user of a plurality of users. A plurality of audit data is received from the plurality of users, where each audit data is associated with a respective user and includes a set of user ratings for an audit. Final ratings are generated for the audit, with a respective final rating for each item in the audit. Generating the final rating of a first item in the audit includes identifying, in the audit data, user ratings for the first item. The user ratings for the first item include a respective user rating of the first item from each user. Generating the final rating of a first item further includes calculating the final rating of the first item based on a weighted combination of the plurality of user ratings for the first item, according to the respective auditor weight of each user.

Abstract: Techniques are provided for centralized enterprise integration and services monitoring in computing environments. For example, a system comprises one or more processors operatively coupled to one or more memories to form a monitoring portal system, wherein the monitoring portal framework is configured to perform steps of: providing one or more graphical user interfaces; and enabling centralized enterprise integration and services monitoring through the one or more graphical user interfaces.

Abstract: Aspects of the invention provide methods, systems, apparatuses and computer program products for implementing a dynamic experimentation service. An example of a method for implementing a dynamic experimentation service includes receiving a set of experiment configuration parameters, determining, by a processor and based on the experiment configuration parameters, an experiment model, the experiment model comprising electronic data indicating an audience selected from a plurality of consumers and a plurality of levels for controlling a communication service in operation to generate an electronic marketing communication for transmission to at least one of the plurality of consumers, receiving a request, from the communication service, the request comprising a communication identifier, determining, based on the communication identifier, at least one of the plurality of levels, and causing the electronic marketing communication to be generated as a treatment comprising the at least one of the plurality of levels.

Abstract: Systems, methods and/or services that allocate and schedules appointments based on supply and demand. In an example, a method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to: gather information of a plurality of suppliers from one or more external sources, prior to a registration process for scheduling an appointment request from a consumer; validate the gathered information of the plurality of suppliers; receive a request from the consumer for scheduling of an appointment with one or more of the plurality of suppliers which meet consumer criteria; enable swapping, purchasing and auctioning of appointments; enable virtual visits and virtual visit queues for on demand virtual appointments; provide system agnostic calendar integration, and provide available suppliers to the consumer based on the consumer criteria.