Abstract: A method of facilitating a match between an employer with at least one job opening and job seekers is provided. The employer has a set of position preferences related to the job opening. The job seekers have suitability data, resumes, etc., that are provided to the employer. The suitability data includes normalized assessment data. The method includes the steps of: determining a position quotient based on the position preferences; deriving a performance quotient for each job seeker, the performance quotient including normalized assessment data; comparing each the performance quotient to the position quotient; and ranking each the job seeker based on the comparison of the performance quotient to the position quotient.

Abstract: A method of facilitating a match between an employer with at least one job opening and job seekers is provided. The employer has a set of position preferences related to the job opening. The job seekers have suitability data, resumes, etc., that are provided to the employer. The suitability data includes normalized assessment data. The method includes the steps of: determining a position quotient based on the position preferences; deriving a performance quotient for each job seeker, the performance quotient including normalized assessment data; comparing each the performance quotient to the position quotient; and ranking each the job seeker based on the comparison of the performance quotient to the position quotient.

Abstract: A method of evaluating a product, the method may include with an assessment module executed by a processor assessing attributes of a target product and listing relevant descriptive terms of the target product descriptive of the attributes of the target product; with a network interface device, accessing a computer-networked marketplace and identifying at least one organic competing product matching at least one descriptive term; with a comparison module executed by the processor: comparing the descriptive terms of the target product to descriptive terms associated with the at least one organic competing product to generate a competitivity score; and with a recommendation module executed by the processor: generating an actionable report descriptive of a projected performance of the target product in the computer-networked marketplace relative to the at least one organic competing product.

Abstract: A project portfolio management system creating virtual interrelationships between projects. Aspects of the system include creating virtual relationships at the Work Breakdown Structure (“WBS”) level with appropriate offsets using interpretations of logic relationships in detailed project schedules using various calculation approaches. The system models the linkages between detailed project schedules in a virtual relationship usable in alternate scenario planning analysis at a summary or working level. The virtual relationships are accurate enough for high level planning by users (e.g., program managers and analysts) with limited familiarity of project details (e.g., which non-workdays are in which project calendars) and reduce the computation times when altering a project planning scenario. Using the virtual relationships allows scenarios to be quickly evaluated to gauge the effects of changing constraints before committing to recalculating the detailed schedules of a project.

Abstract: Disclosed herein is a method for managing customer relationship through multiplex-assigning password of access point. According to an exemplary embodiment of the present invention, a method for managing a customer relationship by a customer management server includes: receiving customer terminal information including customer terminal identification information and customer group identification information within a shop being transmitted by accessing the access points of a plurality of customer terminals; and setting the plurality of accessed customer terminals as the same group in customer groups within the same shop based on the received customer group identification information within a shop and storing the set group in customer information corresponding to the customer terminals included in the group as customer social information.

Abstract: Aspects of the subject disclosure may include, for example, a communication system that receives location data associated with mobile devices over a time period and evaluates the location data to predict hours of operation of an enterprise. The communication system operates by: selecting a first group of mobile devices based on geographical proximity to the enterprise; analyzing the location data to identify a subset of the first group predicted to correspond to employees of the enterprise; selecting a second group of the mobile devices by filtering the subset from the first group; analyzing the location data corresponding to the second group over the period of time to determine aggregate time periods when the second group are in the geographical proximity to the enterprise; and predicting the hours of operation of the enterprise according to the aggregate time periods. Other embodiments are disclosed.

Abstract: Techniques for electronic calendar management. Electronic computing device(s) is/are used to generate an electronic message comprising at least one indication of a proposed electronic calendar entry. The electronic computing device(s) transmit the electronic message to a recipient. The electronic computing device(s) receive, after the electronic message has been received by the recipient, a request for one or more images corresponding to the at least on indication of a proposed electronic calendar entry. The electronic computing device(s) check in response to receiving the request, at least one electronic calendar to determine a status of the calendar at a time corresponding to each of the at least one proposed electronic calendar entry. The electronic computing device(s) generate, for each proposed electronic calendar entry for which corresponding time is available, a graphical representation of each available proposed electronic calendar entry.

Abstract: A system and method are disclosed for searching alternate inventory policies from an initial inventory policy of an inventory of one or more supply chain entities to a target inventory policy by receiving a current state of items in a supply chain network determining an initial inventory policy comprising a reorder point and a target quantity, identifying one or more provisional inventory policies calculating a cost, a fill rate, and a no-stockout probability, and transporting items among the one or more supply chain entities to restock the inventory.

Abstract: A prediction data input unit 91 inputs prediction data that is one or more explanatory variables that are information likely to affect future sales. An exposure pattern generation unit 92 generates an exposure pattern which is an explanatory variable indicating the content of a commercial message scheduled to be performed during a period from predicted time to future prediction target time. A component determination unit 93 determines the component used for predicting the sales, on the basis of a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure, gating functions for determining a branch direction in the nodes of the hierarchical latent structure, and the prediction data and the exposure pattern.

Abstract: A system for managing sanitation of a container for perishable goods including: a storage device to store perishable good requirements, sanitation schedule parameters, sanitation requirements, sanitation test results, and perishable good parameters associated with the perishable goods; and a sanitation management system coupled to the storage device. The sanitation management system including: a sanitation assessment module to determine sanitation risk levels in response to at least one of the perishable good parameters, the perishable good requirements, the sanitation schedule parameters, sanitation test results, and the sanitation requirements; a sanitation schedule module to determine sanitation schedule adjustments in response to at least one of the sanitation risk level, the sanitation schedule parameters, and the sanitation requirements; and a meshing module to determine output parameters in response to at least one of the sanitation risk levels and the sanitation schedule adjustments.

Abstract: A method of generating individualized real-time weather and environmental information, including receiving weather or environmental condition data from weather and environmental sensors, analyzing the data received from the sensors to generate weather and environmental information, and transmitting the information to a communicator device. The method may include determining a spatial range of a sensor and/or determining if a communicator device is within close proximity of a sensor. The sensors may be mounted in fixed locations along a roadway or a railway. The sensors may be approximately equidistant.

Abstract: Embodiments for intelligent scheduling of events by a processor. One or more events may be cognitively scheduled and/or assigned to one or more members from a plurality of group members according to learned relationships and responsibilities associated with the one or more events and the plurality of group members.

Abstract: A meeting server receives from a client device a join request for a user to join a scheduled meeting. An identifier is obtained for the user based on the join request. Information for the meeting is accessed based on the join request, the information including a list of invitees for the meeting. The identifier for the user is compared with the list of invitees for the meeting. It is determined whether to connect the client device to the meeting based on the comparing.

Abstract: Provided herein are systems, methods and computer readable media for allocating sales commissions. In providing such functionality, a method may include, for example, receiving a set of transaction information for a transaction. The transaction information may include an indication of at least one product or service for which a sales commission is offered. The method may also include determining, based on the transaction information, whether a merchant is eligible to receive the sales commission, in response to determining that the transaction information does not identify a merchant that is eligible to receive the sales commission, selecting, using a processor, at least one merchant from a list of merchants selected from a plurality of merchants to receive the sales commission, and providing the sales commission to the selected at least one merchant.

Abstract: A server computing device generates an input data set by determining a set of user information, a set of market index information, and available annuity products. A machine learning processor executes a price optimization module to traverse a computer-generated annuity matching model and select a subset of the available annuity products that are associated with product characteristics that match user objectives and generate annuity product recommendations for the user. The processor executes a market simulation module to traverse a computer-generated annuity performance prediction model using the annuity product recommendations and predictions of market performance to generate simulated outcomes for each of the annuity products. A client device generates a graphical user interface for display to the user via a display device, the graphical user interface including visual representations of each of: the annuity product recommendations and the simulated outcomes.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for determining a probability of presence for a user of a first device at a second media presentation with a second device. The probability of presence is determined by accessing a demographic impression from a database proprietor for the first device for a first media presentation, where the first device is registered with the database proprietor. Accessing a non-demographic impression from a second device, not registered with the database proprietor, for the second media presentation, where the non-demographic impression has one shared data item with the demographic impression. And determining the probability of presence for the user of the first device to be exposed to the non-demographic impression from the second device, based on the demographic impression, the non-demographic impression and the shared data item.

Abstract: A device may provide, to a user device, task data identifying tasks to be performed, and may receive, from the user device, a selection of a particular task from the tasks to be performed. The device may identify cameras associated with a particular task location, and may receive, from the user device, data identifying a location of the user device. The device may determine that the location of the user device matches the particular task location, and may receive, from the user device, task image data identifying images of the particular task location. The device may access, from the cameras, camera data identifying images of the particular task location, and may process the task image data and the camera data, with a machine learning model, to determine performance data associated with performance of the particular task. The device may perform one or more actions based on the performance data.

Abstract: A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options to some users while concurrently testing user responses to other user experience options, among a variety of user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment. The method and system determines bias weights from characteristics of the analytics model and uses the bias weights to compensate for data biases when updating or generating analytics models.

Abstract: Embodiments of the present invention provide a system for decommissioning information technology assets using solution data modelling. The system is typically configured for generating solution data models comprising a plurality of asset systems and a plurality of users, wherein each of the plurality of asset systems is associated with at least one user of the plurality of users and wherein at least a first of the plurality of asset systems is associated with at least a second of the plurality of asset systems, storing the solution data models in a model database, identifying at least one information technology asset for decommissioning, accessing a first solution data model associated with the at least one information technology asset, identifying one or more relationships associated with the at least one information technology asset, and decommissioning the at least one information technology asset based on the one or more relationships.

Abstract: A method of facilitating a match between an employer with at least one job opening and job seekers is provided. The employer has a set of position preferences related to the job opening. The job seekers have suitability data, resumes, etc., that are provided to the employer. The suitability data includes normalized assessment data. The method includes the steps of: determining a position quotient based on the position preferences; deriving a performance quotient for each job seeker, the performance quotient including normalized assessment data; comparing each the performance quotient to the position quotient; and ranking each the job seeker based on the comparison of the performance quotient to the position quotient.