Abstract: A recycling kiosk for recycling and financial remuneration for submission of an electronic device such as a mobile phone is disclosed herein. The recycling kiosk includes electrical connectors and an inspection area with an upper chamber, a lower chamber, a transparent plate and at least one camera in order to perform a visual analysis and an electrical analysis of the electronic device for determination of a value of the electronic device. The recycling kiosk also includes a processor and a display for user interaction.

Abstract: A monitoring platform may obtain information that identifies a product or service and may collect one or more reviews associated with the product or service from a plurality of sources, wherein each review includes respective review information. The monitoring platform may process the one or more reviews to determine respective additional review information associated with each review of the one or more reviews. The monitoring platform may select, using a machine learning model, a particular review, of the one or more reviews, based on the review information and the additional review information associated with the one or more reviews. The monitoring platform may cause display, on a display of a client device, of a prompt for a response to the particular review and may obtain the response from the client device. The monitoring platform may cause the response to be posted to a source associated with the particular review.

Abstract: A computer implemented method, comprising: selecting a plurality of dynamic models for evaluating a scoring request, wherein the dynamic models are stored on a scoring database; deploying each of the dynamic models to one of a plurality of evaluators; synchronizing the dynamic models, the synchronizing including at least determining a same version of the dynamic models is deployed and available to all evaluators; receiving, at a scoring node, a scoring request for a score of a lead from at least one requester; separating the scoring request into a plurality of scoring requests, wherein each of the scoring requests is assigned to one of the selected dynamic models wherein the request is separated by model and aggregate model results and sent to an evaluator queue; combining results from each of the dynamic models; evaluating the combined results wherein each of the evaluators sends a model evaluation response to the response queue; and providing a response to the scoring request based on the evaluation of the

Abstract: Music pushing method, apparatus, electronic device, and storage medium are provided by the embodiments of the present disclosure, for the method, firstly, a user end displays user information that satisfies a preset association relationship with music currently on a music playing interface in response to an operation acting on the music playing interface. In the present embodiments, upon inputting an operation instruction on target music by a user, information of other users who have taken an associated operation instruction to the target music and have an unrestricted friend relationship with the user is displayed, and by presenting music lists corresponding to other users, the user is guided to acquire music pushing information, and thus, ways for the user to acquire the music pushing information are expanded, and problems that music pushing is single and centralized as well as the pushing depends on a friend relationship are overcome.

Abstract: Methods and systems for developing virtual models and assessing a condition of a feature of a modeled property within a virtual environment are described herein. A server may receive a data request from a user electronic device. The data request may comprise a property of interest located in an overall region. The server may then dynamically acquire a virtual model for rendering the property within a virtual environment at the user electronic device based on the data request. The server may then determine to assess a condition of the feature associated with the property represented in the virtual model in accordance with rules. The condition of the feature is relevant to assessing risks associated with the one or more properties. The server may subsequently obtain an assessment of the condition associated with the feature of the property based on a representation of the condition within the virtual environment.

Abstract: Embodiments are directed to a pluggable architecture for performance of pricing operations. An embodiment of a storage medium includes instructions for installing multiple pricing methods at a pricing service including a pluggable architecture for pricing methods, each pricing method including a set of pricing functions; receiving a pricing request for a sales transaction including one or more sales items, the pricing request including a pricing context for each sales item; and performing a price calculation for the sales transaction, including resolving a pricing method for each sales item, applying the set of pricing functions for the resolved pricing method for each sales item, the application of the set of pricing functions being based at least in part on the pricing context for the sales item, calculating a price for each sales item based upon an outcome of the pricing functions, and aggregating the calculated prices for the sales items.

Abstract: A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

Abstract: Pluggable pricing modules with functional extension points. A plurality of pricing methods are installed with a pricing service. The pricing service has a pluggable architecture to accept pricing methods including a set of pricing functions, and one or more extension points that provide programmatic hooks within an operational flow of the pricing service to provide optional interfaces to functional modules external to the pricing service. In response to a pricing request for a sales transaction, the pricing request including a pricing resolving selected pricing method for each sales item of the one or more sales items from the plurality of pricing methods. At least one of the one or more extension points are used to call an external functional module to interact with the operational flow of the pricing service. Aggregated results are provided to the source of the pricing request.

Abstract: A visual discovery tool for automotive manufacturing with network encryption, data conditioning, and prediction can include an extraction device configured to receive data records from application-specific file source databases. The tool can further include a vehicle alert database that receives the vehicle records from the plurality of extraction databases. The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database. The tool can be configured to selectively restrict access to an interactive display based on whether a client device receives authorization credentials.

Abstract: A valuation system to identify interior features of a property, identify exterior features related to interior features using aerial images, and to generate property valuations based on the identified features is provided. The valuation system identifies, using a computer vision module, interior features based on interior image data (e.g., photos) of a property, and further identifies exterior features associated with any of the interior features based on an aerial photo of the property. For example, trees and buildings (e.g., exterior features) adjacent to a window (e.g., an interior feature) can be identified by a computer vision module through the combination of interior and exterior image data. In other words, the identification of property features by the computer vision module can be enriched by correlating interior image data (e.g., photos, video walkthroughs) to exterior image data (e.g., satellite photos, aerial photos).

Abstract: A facility for valuing a distinguished home located in a distinguished geographic area is described. The facility receives home attributes for the distinguished home. The facility obtains valuation for the distinguished home by applying to the received home attributes evaluation model for homes in the distinguished geographic area that has been trained using selling price and home attribute data from homes recently sold in the distinguished geographic area. The facility reports the obtained valuation for the distinguished home.

Abstract: This state monitoring device configured to monitor a current state of a vehicle includes: a storage configured to have stored therein a load index which is an index indicating an accumulation degree of a load having occurred in the vehicle; and a calculation unit configured to receive detection values of a plurality of sensors mounted on the vehicle, and configured to perform a predetermined calculation. The calculation unit includes: a status specification section configured to, by using the detection values of the plurality of sensors, specify, out of a plurality of status categories determined in advance and each indicating a status of use regarding running of the vehicle, one or more of the status categories; and an index update section configured to, on the basis of each specified status category, update the load index stored in the storage.

Abstract: Systems, methods and apparatus for a robotic process automation system for consolidating a set of loans are disclosed herein. An example system may include a set of data collection and monitoring services for collecting information about a set of loans and for collecting a training set of interactions between entities for a set of loan consolidation transactions; an artificial intelligence system that is trained on the training set of interactions to classify a set of loans as candidates for consolidation; and a robotic process automation system that is trained on a set of loan consolidation interactions to manage consolidation of at least a subset of the set of loans on behalf of a party to the consolidation.

Abstract: An example kiosk for accepting a portable electronic device from a client in exchange for payment, associated method and systems are described. The kiosk may include at least one display, an imaging chamber that includes at least one camera and one or more mirrors fixedly-arranged to capture images of a portable electronic device, at least one communication connection to a remote server and/or operator, and at least one computer. The computer may be configured to, in conjunction with the remote server and/or operator, capture one or more images of the portable electronic device in the imaging chamber while said at least one camera and said mirrors remain in unchanged positions. The computer may also transmit the captured images to the remote server and/or operator, receive an acceptance of the offered payment amount based upon an offered payment amount for the portable electronic device received from the remote server and/or operator, and provide for secure deposit of the portable device in the kiosk.

Abstract: Aspects of the disclosure relate to using machine learning algorithms to analyze vehicle operational data associated with a vehicle accident. In some instances, an accident assessment server may receive data indicating that a vehicle was involved in an accident. The accident assessment server may compare the data with other known data, based on machine learning algorithms, to identify whether the accident resulted in a total loss. Responsive to determining that the accident resulted in the total loss, the accident assessment server may request further information regarding the vehicle and may identify a baseline value range for the vehicle. The accident assessment server may request updated information from the owner of the vehicle, identify, based on the updated information, a final value of the vehicle, and may pay the owner of the vehicle an amount corresponding to the final value if the final value is within the baseline value range.

Abstract: Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.

Abstract: Systems and methods are disclosed for electronically detecting and determining a type of inspection to recommend for a property and/or one or more characteristics of the property using input from multiple computing devices, such as image capturing devices, mobile devices, external data sources, internal data sources, and/or other data sources. A computing device may receive, via a communication interface, a plurality of images of a property. The computing device may determine, based on the plurality of images of the property, a score indicative of a level of care of the property. The computing device may determine, based on the plurality of images of the property, an estimate of a value of the property. Based on the determined score indicative of the level of care of the property and the determined estimate of the value of the property, the computing device may determine a recommendation for a type of inspection to perform on the property.

Abstract: A training set may be created to train a machine learning engine, such as an artificial neural network (ANN), to value a target domain name using data from previously sold domain names. The training set may comprise a plurality of word features vector of real numbers (information related to the words or tokens within the sold domain names), a plurality of word embedding vector of real numbers (word embedding of the words within the sold domain names), a plurality of context embedding vector of real numbers (sale context, i.e., location and date of a sale of a sold domain name), a plurality of DNS embedding vector of real number (DNS information of the sold domain name) and/or a plurality of domain name features vector of real numbers (data regarding the sold domain name). The ANN may then be trained on the training set, using the methods of gradient descent and back propagation, to value a target domain name.

Abstract: The present disclosure provides computerized, automated real estate valuation systems and methods that take into account subjective factors of the property like curb appeal and property condition. In preferred embodiments, the valuation system uses image recognition of images (photos and/or videos) associated with the property to automatically identify which comparable properties to include and to exclude in determining the value of the property.

Abstract: An apparatus comprises a processing platform implementing a data set discovery engine and a data set valuation engine. The data set discovery engine is configured to generate data set similarity measures each relating a corresponding one of a plurality of data sets to one or more other ones of the plurality of data sets. The data set valuation engine is coupled to the data set discovery engine and configured to generate valuation measures for respective ones of at least a subset of the plurality of data sets based at least in part on respective ones of the data set similarity measures generated by the data set discovery engine. For example, the data set valuation engine may generate the valuation measure for a given data set as a function of valuation measures previously generated for respective other data sets determined to exhibit at least a threshold similarity to the given data set.

Abstract: A method for managing a real estate management platform and dynamic scoring system present invention is presented. The present invention will provide a means of dynamically ranking individual criterion prior to the application of said criterion to a listing database. The value of each search criterion relative to any other criterion is infinitely scalable, enabling the value of selected criteria to be near-absolute while other criteria may only contribute to the overall value of a property. This criteria-forming system is proposed to reflect real-world purchasing decisions more accurately by mimicking the internal processes by which a buyer might make value judgements.

Abstract: Methods, apparatus, systems and articles of manufacture to provide an image modality maintenance care package are disclosed. An example apparatus includes a solution predictor to predict a solution for servicing an imaging device based on the at least one of an error code or an identified issue and information related to previous solutions corresponding to the at least one of the error code or the identified issue. The apparatus further includes a care package generator to generate a customized data structure corresponding to the solution, the customized data structure including automated solutions to service the imaging device.

Abstract: A computer system and associated processes are disclosed for grouping similar real estate properties into contiguous neighborhoods, and for generating neighborhood-specific models capable of estimating property values within their respective neighborhoods. A clustering component uses various sources of property-level data to group properties based on measures of property similarity. For example, the clustering component may use features extracted from property images to identify properties with similar characteristics. As another example, the clustering component may measure property similarity based on how frequently specific properties are designated as comparable in appraisal reports. A model generator uses a machine learning process to determine, for specific neighborhoods, correlations between property attributes and values, and uses these correlations to generate the neighborhood specific models.

Abstract: Systems and methods are disclosed for automatically determining property value, the systems and methods perform operations comprising: receiving, by a server, subject real-estate property listing information associated with a subject real-estate property; identifying a plurality of comparable real-estate property listings based on attributes of the subject real-estate property listing information; processing the subject real-estate property listing information together with the plurality of comparable real-estate property listings using a trained machine learning technique to predict a value for the subject real-estate property, the trained machine learning technique being trained to jointly establish a relationship between weights assigned to a set of training comparable real-estate property listings and value adjustments of the set of training comparable real-estate property listings and a value of a real-estate property of interest; and performing an action with respect to the subject real-estate property

Abstract: Systems and methods are described that provide for determining a relative non-monetary value of real estate properties and translating seeking users' real estate needs into user-specific criteria that can be incorporated in searches and optimize real estate search results based on the seeking users' needs for both real estate seeking users and real estate offering users. Seeking users may be evaluated for user-specific needs and receiver recommendations for real estate to purchase, lease, use, or occupy for highest and best use of available real estate. Furthermore, real estate matching seeking users' needs may be presented to an offering user. The offering user may update any real estate listings to match the needs of the seeking user as well as needs of other seeking users to target specific users or gain more interested users.

Abstract: In one example aspect, a computerized method includes the step of providing an item listing. The item listing is listed in an e-commerce marketplace. The computerized method includes the step of identifying the item listing into a set of listing parameters. A listing parameter includes one or more listing images and one or more terms that are descriptive of the item listing. The computerized method includes using the listing parameters to do the following steps. The computerized method determines a trust score for the item listing. The trust score is based on a number of images of an item in the item listing. The computerized method a quality score of the number of images; a description score of a description of the item. The computerized method determines a pricing score. The pricing score is based on a percentage variation from a geographically relevant item valuation and an item research service, and a condition of the item. The computerized method determines a seller score.

Abstract: A computerized system is provided for facilitating direct communication between a real estate agent who has listed a property for sale and a potential real estate buyer. The system allows a user to receive the listing agent contact information within the user interface of the computerized system, thereby streamlining the user interface experience and keeping the user engaged with the online platform.

Abstract: A computer implemented system and process of analyzing real-time measurements of a plurality of air quality sensors to provide an calculated estimate of airborne virus infection and air quality evaluation from current air quality measurements, advise those at risk, advise responsible parties of recommended actions to take, and in some embodiments take direct action in communication of instructions to air filtration and treatment equipment and HVAC systems to improve outside air flow, increase filtration, treat contaminated air and reduce humidity and reduce the risk of airborne virus transmission. Sensor data, calculated airborne infection risk, air quality, warnings and reports are created and distributed to network connected devices.

Abstract: Structured data comprising primary data is transformed into object-based data comprising the primary data and at least one search function. The object-based data when loaded into memory provides the search function as executable instructions for an object instance. When an application calls the object instance with search terms as input, the search terms are located within the primary data (which is loaded into memory) by the search function, and the object instance returns corresponding field values from the primary data associated with the search terms to the application.

Abstract: A method for data processing includes displaying, at a user interface, a plurality of attributes that are defined by a data model configured for a tenant of a multi-tenant system. The plurality of attributes includes a one-to-many attribute that is configured to support multiple inputs and a direct attribute configured to support a single input. The method may further include receiving a selection of a first one-to-many attribute for defining an expression for identifying a segment of entities. The method may further include activating, for selection at the user interface, a subset of the attributes based on each attribute of the subset being dependent on the first attribute. The method may further include receiving an indication of the expression, executing a database query to identify the segment of entities, and transmitting, to a content communication system, an indication of the segment of entities.

Abstract: An example kiosk for accepting a portable electronic device from a client in exchange for payment, associated method and systems are described. The kiosk may include at least one display, an imaging chamber that includes at least one camera and one or more mirrors fixedly-arranged to capture images of a portable electronic device, at least one communication connection to a remote server and/or operator, and at least one computer. The computer may be configured to, in conjunction with the remote server and/or operator, capture one or more images of the portable electronic device in the imaging chamber while said at least one camera and said mirrors remain in unchanged positions. The computer may also transmit the captured images to the remote server and/or operator, receive an acceptance of the offered payment amount based upon an offered payment amount for the portable electronic device received from the remote server and/or operator, and provide for secure deposit of the portable device in the kiosk.

Abstract: Techniques for automatic image tagging and selection at a mobile device include generating a smart image tagging model by first training an initial model based on different angles of image capture of subject vehicles, and then re-training the trained model using weights discovered from the first training and images that have been labeled with additional tags indicative of different vehicle portions and/or vehicle parameters. Nodes that are training-specific are removed from the re-trained model, and the lightweight model is serialized to generate the smart image tagging model. The generated model may autonomously execute at an imaging device to predict respective tags associated with a stream of frames; select, capture and store respective suitable frames as representative images corresponding to the predicted tags; and provide the set of representative images and associated tags for use in determining vehicle damage, insurance claims, and the like.

Abstract: A system outputs data for performing an operation. The system confirms an identity of a device on which to perform the operation by receiving an input from the device and verifying that the input matches a known identifying information of the device. The system allows the operation to be performed on the device after confirming the identity of the device. The system receives feedback from a monitoring system that monitors states of a plurality of devices including the device, including a state of the device after the operation is performed on the device. The system determines whether the state of the device received in the feedback matches an expected state of the device after the operation is performed on the device. The system outputs data for performing a next operation after determining that the state of the device received in the feedback matches the expected state of the device.

Abstract: A computer method for resolving entity identity. The method includes recording a plurality of entities by denoting a plurality of attributes about the plurality of entities via a plurality of labels comprising a plurality of data sets. A plurality of connection conditions between the plurality of data sets are determined, the plurality of connection conditions comprising a plurality of weight conditions. The plurality of weight conditions are reduced based on a probability function. The plurality of data sets are separated into a plurality of data subsets based on the plurality of weight conditions of the plurality of connection conditions to identify particular attributes of the plurality of data subsets, and the particular attributes of the plurality of subsets are transmitted.

Abstract: A facility for determining a market rental rate for a distinguished home located in a distinguished geographic area is described. The facility receives home attributes for the distinguished home. The facility obtains a market rental rate for the distinguished home by applying to the received home attributes a valuation model for homes in the distinguished geographic area that has been trained using rental listing price and home attribute data from homes recently listed for rental in the distinguished geographic area. The facility reports the obtained market rental rate for the distinguished home.

Abstract: This disclosure relates to a method and system for an exterior display of a vehicle, such as an autonomous vehicle, configured to issue feedback prompts. An example method includes issuing a prompt via a human-machine interface on an exterior of a vehicle permitting an input indicative of an undesired condition of the vehicle.

Abstract: Data processing systems and methods, according to various embodiments, are adapted for mapping various questions regarding a data breach from a master questionnaire to a plurality of territory-specific data breach disclosure questionnaires. The answers to the questions in the master questionnaire are used to populate the territory-specific data breach disclosure questionnaires and determine whether disclosure is required in territory. The system can automatically notify the appropriate regulatory bodies for each territory where it is determined that data breach disclosure is required.

Abstract: A computer-implemented method may include receiving a customer submission for a vehicle from a customer device, the customer submission including a plurality of customer criteria; receiving a request from the customer device to provide the customer submission to a merchant device; and receiving a reply from the merchant device, the reply including a plurality of merchant criteria. The computer-implemented method also may include determining a variance between the customer criteria and the merchant criteria, and transmitting, to the merchant device, at least one of the variance or the customer criteria.

Abstract: Systems, methods, and techniques to access and decode vehicle information are provided. The method includes generating a request for a manufacturer server to transmit an option code to a central server based at least on a vehicle identification number received from a client device. The method further includes decoding, at a decoding module operating at the central server, the option code to generate an option that is present on a vehicle referenced by the vehicle identification number. The decoding includes mapping, by the decoding module and based on a conversion mapping, the option code to the option accessed at an option code database in communication with the central server and the decoding module. The decoding further includes generating option data including the option. The method further includes transmitting the option data to the client device for display at the client device.

Abstract: Modeling appropriate comparable properties for the assessment of appraisals entails accessing a property dataset, wherein subsets of properties represented in the property data are determined to be members of respective condominium projects. Condominium project identification information is scrubbed, standardized and updated using various techniques. An automated valuation model is applied to the property data, preferably implementing the condominium project variable as a location fixed effect variable. Appraisal reports where the subject property is a condominium are then analyzed using the results of the automated valuation model, including but not limited to ranking and displaying the appraiser-chosen comparables among the model-chosen comparables.

Abstract: A system and method for ranking or scoring charging stations and/or charging events or sessions, and/or performing actions based on the ranking or scoring is described. In some embodiments, a charging station ranking engine is configured to rank charging stations, or potential charging events, based on feedback received from users of the charging stations, such as drivers of electric vehicles, or other dynamically determined factors.

Abstract: Aspects of the disclosure relate to using machine learning algorithms to analyze vehicle operational data associated with a vehicle accident. In some instances, an accident assessment server may receive data indicating that a vehicle was involved in an accident. The accident assessment server may compare the data with other known data, based on machine learning algorithms, to identify whether the accident resulted in a total loss. Responsive to determining that the accident resulted in the total loss, the accident assessment server may request further information regarding the vehicle and may identify a baseline value range for the vehicle. The accident assessment server may request updated information from the owner of the vehicle, identify, based on the updated information, a final value of the vehicle, and may pay the owner of the vehicle an amount corresponding to the final value if the final value is within the baseline value range.

Abstract: Systems and methods for verification of public property records and other information associated with real estate properties compare information from different providers. The information is formatted in different provider-specific ways. The systems and methods enable comparisons through predetermined sets of textual manipulations that counteract or remedy differences in formatting, collection methodology, and data management practices.

Abstract: A device may receive user preference data and company preference data associated with one or more bookable items. The device may obtain external preference data associated with the one or more bookable items. The external preference data may be different from the user preference data and the company preference data. The device may generate a list of schedules based on the user preference data, the company preference data, and the external preference data. The device may generate one or more category scores for a plurality of schedules included in the list of schedules based on the company preference data. The device may rank the list of schedules based on the one or more category scores. The device may select a schedule, from the ranked list of schedules, based on the one or more category scores. The device may perform an action based on selecting the schedule.

Abstract: A method for selecting a set of information technology (IT) services peer deals to an in-flight deal for each first level service in the in-flight deal includes receiving a detailed cost structure for historical information, in-flight deals information, market deals information, services baselines and deals metadata, and multiple peer deals for selection. For historical information and market deals information, all missing baselines for all services in the in-flight deal and all missing unit cost for services are augmented at the first level service. The multiple peer deals are classified into different clusters at the first level service. A closest cluster to the in-flight deal at the first level service is selected. For each second level service of the in-flight deal the method: classifies the selected peer deals into different clusters. A predetermined number of peer deals that appear in a largest number of the selected clusters is selected.

Abstract: An automated system which inspects the cosmetic appearance and general physical condition of each mobile device and then assigns a grade. The system inspects for scratches, cracks, dents, bents, dings, etc. The various identified defects are evaluated and receive a grade. All of the independent grades can be used to assign an overall grade.

Abstract: A method includes receiving, by a screening service, an applicant profile that identifies an applicant and an authorization to provide access to screening results generated by the screening service based on the applicant profile to a screener, associating, using a computer, an identifier with the screening results, and communicating the identifier to the screener.

Abstract: Purchasing, maintaining, and deriving revenue from mobile autonomous units is facilitated by providing a mobile autonomous unit marketplace in which equity shares in mobile autonomous units can be bought, sold and traded. Valuation of mobile autonomous units within the marketplace can be a function of a variety of factors such as the mobile autonomous unit's primary geographic region, and the number, diversity, and time management of revenue streams available to the mobile autonomous units.

Abstract: Techniques for maintaining information that identifies an association of a virtual asset to an item, updating the association of the virtual asset to a user profile, and generating a recommendation for another item based on the updated association may be described herein. For example, data may be received in response to a user device interacting with a machine-readable identifier of an item. An association of a virtual asset may be updated to reflect that the virtual asset is associated with a user profile instead of the item in response to receiving the data. In some embodiments, a recommendation may be generated and provided to the user device that identifies other vendors or items based at least in part on the updated user profile.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection to request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.