Abstract: Aspects of the disclosure relate to controlling enterprise software policy compliance assessment processes based on quantum combinations of assessment elements. A computing platform may receive an assessment dataset and may generate a time-independent requisite work dataset. The time-independent requisite work dataset may include assessment information identifying a plurality of real branded assessment quanta and priority information identifying a plurality of priority scores. Each priority score of the plurality of priority scores may correspond to an assessment quantum of the plurality of real branded assessment quanta. The computing platform may optimize the time-independent requisite work dataset by aggregating related assessment quanta associated with the plurality of real branded assessment quanta, and this may produce a prioritized schedule of application assessment quanta.

Abstract: A computer-implemented method is provided for generating an access profile for a given user in a group of users. The method includes generating (i) a demographic similarity matrix of demographic similarity scores, each score measuring a degree of similarity between a pair of the users with respect to a demographic metric in a plurality of demographic metrics, and (ii) an access similarity matrix of access similarity scores, each score measuring a degree of similarity between a pair of the users with respect to an entitlement in a plurality of entitlements. The method also includes calculating a group similarity matrix based on a weighted average of the demographic and access similarity matrices. The method further includes creating the access profile for the given user based on the group similarity matrix. The access profile indicates access recommendations for the given user in relation to the plurality of entitlements.

Abstract: Provided herein are systems, methods and computer readable media for managing a sales pipeline, and in some embodiments, calculating supply based on travel propensity. An example method comprises identifying a total demand for a promotion tuple at a geographic location, determining, using a processor, a promotion area for the promotion tuple, the promotion tuple comprising at least a category, price information and a geographic area, identifying one or more promotions offered by a promotion and marketing service that comprise at least the category and the price information of the promotion tuple, determining whether the total demand for the promotion tuple at the geographic location is satisfied, wherein the total demand is satisfied in an instance in which the geographic location is within the promotion area for the one or more promotions, and identifying a demand gap in an instance in which the total demand for the promotion tuple at the geographic location is not satisfied.

Abstract: A facility for determining a market rental rate index for homes located in a distinguished geographic area is described. The facility accesses a current market rental rate attributed to substantially every home in the named geographic area based on automatically comparing the attributes of each home to attributes of homes recently listed for rental in the named geographic area. The facility then applies an aggregation function to the accessed current market rental rates to obtain an aggregation result. The facility causes to be displayed a characterization of the current market rental rate of homes in the named geographic area that is based on the aggregation result.

Abstract: In accordance with one aspect, the present disclosure is directed to of determining relative importance of a plurality of entities in a supply chain of a company. One way of doing this is identifying for the company, the plurality of entities in the supply chain, and determining the relative importance of each of the plurality of entities within the supply chain. The relative importance is determined via at least one processor circuit programmed to determine, for each respective entity in the supply chain, a relative buying power, a supplier revenue fraction, and an industry revenue exposure. The processor circuit is programmed to compute a relative importance score for each respective entity in the supply chain, as a function of the determined buying power, supplier fraction, and industry revenue exposure for the respective entity.

Abstract: A method and system for improving scheduling decisions in an online to offline service. The method includes obtaining order information in an area associated with a first time period. The method also includes determining driver status information associated with a plurality of drivers in the area corresponding to a first time period. The method further includes determining a scheduling decision for the plurality of drivers in the area in the first time period based on the order information and the driver status information. The scheduling decision optimizes estimated overall profit for the online to offline service starting from the first time period.

Abstract: A system for improving performance in an enterprise computing environment is disclosed and involves a change registry vault, including a machine learning model that analyzes whether or not implementation of a change will result in adverse operation of a component of the enterprise computing environment if the change is released, and takes different actions depending upon a result of that analysis. A corresponding method is also disclosed.

Abstract: A system includes a biological sensor measuring biological data of a plurality of customers, a storage storing a plurality of attendant-associated data records, and a processor. Each attendant-associated data record includes the biological data of a customer, a seat identifier, and an attendant identifier associated with each other. The processor calculates at least one stress indicator of at least one customer. Each stress indicator is calculated based on the biological data in one of at least one attendant-associated data record extracted from the plurality of attendant-associated data records and associated with a first attendant identifier. The processor further calculates an evaluation value indicated by the first attendant identifier based on the at least one stress indicator of the at least one customer. The evaluation value is updated based on a registered evaluation value identified by the first attendant identifier stored in the storage, and the calculated stress indicator.

Abstract: A method and system for automatic task time estimation and scheduling comprising the steps of: (1) storing a plurality of media items; (2) defining an aggregate task; (3) storing participant data and historical time data; (4) determining a plurality of metadata attributes; and (5) determining a final time estimate.

Abstract: A system, method, and computer-readable medium for performing a domain specific evaluation operation comprising: storing domain specific data within a business query repository; determining and understanding variations within language for a domain specific category; performing a test planner operation on an identified NLP system, the test planner operation allowing a user to select a test plan to apply to the identified NLP system; and, evaluating the identified NLP system using a text planner output.

Abstract: Described is a system for determining how opinions spread through a network. Opinion dynamics are applied to a network, each node having a corresponding opinion. Each node is described by an active state or an inactive state such that inactive nodes can update their opinions, and active nodes are fixed in their opinion at the time of activation. Inactive nodes can be influenced by both active nodes and inactive nodes. The opinion dynamics proceed in discrete time steps with an influence step for updating each inactive node's opinion, and a stochastic action step for determining whether an inactive node becomes activated. The system identifies how opinions spread through the network using the applied opinion dynamics, resulting in a set of opinion dynamics data. The opinion dynamics data is used to control information that a device or account is allowed to post to social media platform.

Abstract: A method, computer system, and a computer program product for performing a total unduplicated reach and frequency (TURF) analysis, is provided. The present invention may include distributing variables into a plurality of groups and calculating, based on a TURF analysis, a reach score for each variable in the plurality of groups. The present invention may include identifying at least one group of variables including the calculated reach score above a first threshold value and displaying a set of TURF analysis results to a user. The present invention may include determining, an available computational resource value for the TURF analysis and in response to determining that a count of variables in the identified at least one group of variables is below a second threshold value, wherein the second threshold value is based on the determined available computational resource value, performing a next TURF analysis on a single group of variables.

Abstract: The UTILITY RESOURCE ASSET MANAGEMENT SYSTEM APPARATUSES, METHODS AND SYSTEMS (“URAMS”) transform weather, terrain, and utility asset parameter data via URAMS components into damage predictions with confidence metrics, alerts, and asset allocation and response plans.

Abstract: Among other things, a central server maintains information representative of requests communicated through the Internet from devices at request locations. Each of the requests represents a proposed reservation for services to be managed by devices at delivery locations.

Abstract: The disclosed embodiments relate to a system that facilitates deployment of utility repair crews to nodes in a utility network. During operation, the system determines a node criticality for each node in the utility network based on a network-reliability analysis, which considers interconnections among the nodes in the utility network. The system also determines a node failure probability for each node in the utility network based on historical weather data, historical node failure data and weather forecast information for the upcoming weather event. The system uses the determined node criticalities and the determined node failure probabilities to determine a deployment plan for deploying repair crews to nodes in the utility network in preparation for the upcoming weather event. The system then presents the deployment plan to a person who uses the deployment plan to deploy repair crews to be available to service nodes in the utility network.

Abstract: For each service scenario out of a plurality of service scenarios, matching features of a to-be-matched product corresponding to the service scenario are acquired based on user features of users accessing the service scenario. A respective user feature mapping value of the service scenario is calculated based on the matching features of the to-be-matched product corresponding to the service scenario. Out of the plurality of service scenarios, a target service scenario of the to-be-matched product is selected based on the respective user feature mapping value of the service scenario.

Abstract: Techniques are provided for simulation-based online workflow optimization.

Abstract: A system for use with a system for providing predictive discovery data services to a user comprising processor means providing enhanced data reflecting one or more of: refined proximity boundaries around areas of user interest; analysis of time of a user device location relative to proximity boundaries; assessment of location of user attendance in and allowing selected user access to the enhanced data.

Abstract: A method for allowing a merchant to rate a customer as part of a card transaction between the customer and the merchant, the method being performed in a merchant device, the method including: a) obtaining a card number for a payment card of the customer for use in the card transaction; b) obtaining a customer rating input by the merchant; c) generating a transaction message including: i) transaction details indicative of the card transaction, the transaction details including the card number; and ii) the customer rating; and d) transferring the transaction message to a server via a payment network, to thereby allow the server to: i) determine a customer identifier based on the card number; and ii) cause the customer rating to be stored in a ratings database in association with the customer identifier.

Abstract: Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically assessing consumer sentiment with regard to an attribute descriptor associated with a commercial entity and/or a commercial item. A computer-executed method includes programmatically accessing, via a network device, text of a consumer review and in indication of an attribute descriptor included in the text of the consumer review. The method also includes executing a consumer review processing engine to programmatically analyze the text of the consumer review to generate a sentiment score associated with the attribute descriptor in the context of the consumer review. The method further includes storing, on a non-transitory computer-readable storage device, an indication of the attribute descriptor and the generated sentiment score in association with the commercial entity and/or the commercial item.