Abstract: A facility for estimating a subject home's value is described. For each of one or more direct home attributes, the facility determines the value of the direct home attribute for the subject home. For each of a plurality of arbitrary geographic regions of different sizes containing the subject home, the facility determines information relating to the geographic region as a whole. The facility then subjects the determined values and information to a statistical home valuation model to obtain an estimated value of the subject home.

Abstract: A method for monitoring regenerative management practices in agricultural parcels includes: determining a regenerative carbon footprint value for a parcel that comprises a difference of a regenerative carbon footprint and a baseline carbon footprint, where the baseline carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under current management practices and the regenerative carbon footprint is derived by calculating greenhouse gas emissions based on simulating crop growth under one or more regenerative management practices; for key dates corresponding to implementation and maintenance of each of the one or more regenerative management practices, processing and evaluating remotely sensed images against corresponding crop curves to determine compliance/noncompliance indicators that correspond each of the key dates; and storing the compliance/noncompliance indicators within a parcel database, where the compliance/noncompliance indicators are employed at a final da

Abstract: A system and method for allocation planning comprise a server comprising a processor and memory and configured to calculate a reward for a historical allocation of a product to one or more stores associated with a retailer. Embodiments include simulating what-if scenarios for the historical allocation to identify an allocation having a greater reward than the historical allocation and allocating a quantity of a product for a current allocation to the one or more stores based, at least in part, on a distance calculation of one or more independent variables for the historical allocation and the current allocation and the identified allocation having the greater reward then the historical allocation.

Abstract: A system and method are disclosed including a computer and a processor and memory. The computer receives option constraint limiting values of a second option parameter based on a value for a first option parameter, wherein the first option parameter and the second option parameter comprise mix rates for options for a configuration. The computer further generates an interactive element for setting values of the first option parameter and an interactive element for setting the value for the second option parameter and displays the one or more interactive elements. The computer still further, in response to a value being set for the first option parameter, calculates limits for the values of the second option parameters and prevents the interactive element for setting the value for the second option parameter to be set to values outside of the calculated limits.

Abstract: A method and system are described for generating a quantified perception profile of a predetermined stimulus. The method may be used in colorimetry or flavor quantization. Flavor descriptors are selected from database for the particular product and presented pairwise in all possible pair combinations to each of a plurality of tasters via user-devices. For each flavor descriptor pair, users select one of the descriptors which is perceived to be more intense than the other. The results of the selections are captured at host and mapped by normalizing means as intensity values into a flavor descriptor space in database to create a quantized flavor profile. Normalizing means performs a weighting on each descriptor selection result. Filtering means detects anomalous or inconsistent selection responses and issues adaptive control instructions.

Abstract: A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.

Abstract: Features related to a system and method for scheduling a resources to perform discrete tasks are described. The scheduling features include generating schedules predicted to appeal to the tasked resource (e.g., delivery partner) such as by time, day of the week, location, item types, etc. Using machine learning, the schedule and terms thereof can be dynamically generated to suit the tastes of each tasked resource and the overall demand for services. Using historical data, the modeling also accounts for likelihood an offer will be accepted and risk of cancellation for a given resource. The machine learning may be based on a mixed integer problem as constrained by partner and system capacity parameters.

Abstract: A computing system configured to: (i) receive a request to create a project entity; create the project entity; establish a data connection between a first party and the project entity; and define the first party's default data retention settings; (ii) receive a request to create a set of data objects associated with the project entity; create each data object in the set; establish a respective data connection between the first party and each data object; and define the first party's data retention settings for the respective data object; (iii) after receiving an indication that a second party has accepted the first party's invitation to collaborate: establish a data connection between the second party and the project entity; define the second party's default data retention settings; establish a respective data connection between the second party and each data object; and define the second party's data retention settings for each data object to match the second party's default data retention settings.

Abstract: Systems and methods for task distribution and tracking in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method includes obtaining, by a task tracking server system, damage data indicating damage to a component of a rail car, determining, by the task tracking server system, a location of the damage on the component, determining, by the task tracking server system, task data based on the indicated damage and the component, wherein the task data indicates a repair to the component to correct the indicated damage, obtaining, by the task tracking server system and from a third-party database, ownership data indicating a responsible party for the component and a responsible party for the rail car, and generating, by the task tracking server system, a work order including the damage data and the task data.

Abstract: A software-based process modeling tool is provided that labels and links a plurality of activities forming part of a process that is being modeled include a recommendation engine. With the modeling tool, the activities are each represented as a node in the graphical user interface. A recommendation engine is polled with information characterizing the labeled activities and their corresponding links to obtain a plurality of ranked recommendations for an unlabeled node representing a next activity in the process for selection by a user. The recommendation engine applies the information characterizing the labeled activities and their corresponding links to a plurality of rules each having a corresponding confidence value. The plurality of rules is generated using a plurality of rule templates as applied to a plurality of historical processes each comprising a plurality of labeled and linked activities.

Abstract: Dynamic state-space modeling within a special purpose hardware platform to determine non-conversion risks for each trial user and churn risks for each active subscriber having exhibited a sequence of behaviors. The state-space model may be operable to determine a loss risk for each of a provider's active trial users and/or subscribers.

Abstract: Conventional resource management systems often merely assign resource data to accounts determined on a yearly basis, which does not provide an efficient means of planning for changes at a more granular level, or for making adjustments if an allocation needs to be modified during a budget period. An embodiment of the invention provides a method for managing modifications to an allocation. Modifications to an allocation may be represented as deltas, and the deltas may be evaluated against a set of rules to determine a precedence for selectively applying the deltas. The deltas may be selectively applied to the allocation according to the precedence to generate an allocation instance, and the allocation instance may be adapted into a location of a user interface.

Abstract: Techniques for automatically manufacturing mechanical parts are described. A first estimate of manufacturing cost for a first mechanical part is generated using a first machine learning model. In response to determining that the first estimate of manufacturing cost for the first mechanical part falls within a range of effectivity for the first machine learning model, a second estimate of manufacturing cost for the first mechanical part is generated using a second machine learning model. An expected cost error in the second estimate of manufacturing cost for the first mechanical part is determined, and upon determining that the expected cost error falls within a pre-determined acceptable range, automatic manufacturing of the first mechanical part is facilitated.

Abstract: A method for holistically ranking medical student and medical residency matching including, generating an applicant profile, determining a diversity score as a function of data in the applicant profile, determining a competency score as a function of data in the applicant profile, and calculating a representative score as a function of the diversity score and the competency score. Further, the method includes presenting, via a graphical user interface (GUI) a graphical representation of the representative score.

Abstract: Strategic competitive intelligence data generation systems and methods are provided. The system stores internal intellectual property data of an entity, receives external technology development data from predefined sources and intellectual property data from the internal portfolio database of the entity, stores a set of relevant rules, executes them, filters the technology development data and the intellectual property data, based on the rules executed by the rule engine. It stores in one of an entity aligned cluster database, the filtered technology development data and the intellectual property data. The entity aligned cluster databases are created against predefined entity aligned clusters. The system executes an input query, determines one relevant entity aligned cluster database for executing the search query, and populates relevancy scores in two matrices, aggregates the relevancy scores through multiplication of the matrices.

Abstract: In some examples, extended reality based immersive project workspace creation may include obtaining sensing data from at least one sensor of a device worn by a user, and analyzing, based on the sensing data, an environment of the user. A plurality of insights associated with the user may be determined, and prioritized based on a plurality of prioritization criteria. An insight of the plurality of prioritized insights associated with the user may be rendered in the environment of the user. Further, the rendering of the insight may be controlled based on an interaction of the user with the rendered insight.

Abstract: A construction site management device receives operation information indicating an operation content of a loading machine, and positional information sent from a haulage vehicle; stores a positional history, and stores an operation history. The operation history includes a content of work of the loading machine performed in a work area and information of time when the work has been performed. Haulage history indicates when the haulage vehicle has entered the work area, and loading history indicates the time when the loading machine has performed loading work for the haulage vehicle and a work area in which the loading machine has performed the loading work for the haulage vehicle. The loading history is created on the basis of the haulage history and the operation history; and work result data indicating from which work area to which work area a load has been hauled is output.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for optimizing resource allocation for an organization. More particularly, embodiments of the present disclosure utilize multiple data sets to enable organizations to make intuitive business decisions and plan resources accordingly. To do so, various data is collected at a resource engine that utilizes the data to determine resource utilization, occupancy density, and a recommendation. In various embodiments, the resource utilization, occupancy density, and a recommendation may be provided to a user as an alert, a report, or a user interface. The user interface may additionally enable the user to apply the recommendation. In some embodiments, the recommendation may be automatically applied or the user may be directed to perform the recommendation. The alert, report, or user interface may additionally inform the user of the impact of performing or not performing the recommendation.

Abstract: A computer system for performing automated market research using an electronic survey is provided herein. The computer system includes a communications subsystem for receiving survey content data. The communications subsystem also receives survey response data from at least one respondent device. The computer system includes a memory for storing the survey content data and the survey response data. The computer system includes a processor configured to execute a survey programming application. The survey programming application includes a survey design application for creating a survey program from the survey content data. The survey program provisions the electronic survey to respondents via the at least one respondent device and collects the survey response data from the respondents. The survey programming application also includes at least one survey program quality assurance tool.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a geographic recommendation platform. The geographic recommendation platform receives data identifying a geographic region specified by a user and gathers data relating to the geographic region. The geographic recommendation platform determines, based on the data relating to the geographic region, an anticipated demand for an item within geographic region. The anticipated demand indicates how likely the item is to be purchased by a user that is located within the geographic region. The geographic recommendation platform generates a recommendation for the item based on the anticipated demand. The recommendation indicates the anticipated demand for the item within the geographic region. The geographic recommendation platform transmits the recommendation to the user.