Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Aspects of the disclosure relate to generating map data. For instance, data generated by a perception system of a vehicle may be received. This data corresponds to a plurality of observations including observed positions of a passenger of the vehicle as the passenger approached the vehicle at a first location. The data may be used to determine an observed distance traveled by a passenger to reach a vehicle. A road edge distance between an observed position of an observation of the plurality of observations and a nearest road edge to the observed position may be determined. An inconvenience value for the first location may be determined using the observed distance and the road edge distance. The map data is then generated using the inconvenience value.

Abstract: Example methods, apparatus, and articles of manufacture for monitoring use by a user of a portable research device in accordance with at least one predetermined use criterion are disclosed. The disclosed examples include passively gathering data for assessing an identity of a user of the portable research device, processing the passively gathered data to produce assessment data indicating a possibility that the user is not a predetermined correct user of the portable research device, based on the assessment data, displaying a message to the user requesting a response from which the user's identity may be determined, and processing a response to the message to produce data indicating whether the user is the predetermined correct user.

Abstract: A system and method for follow up management comprising determining if a user has a repository record, extracting information from the repository record associated with the user, and acting on information stored in the repository record. The method may be practiced on a system for managing online interaction comprising a business rules engine a follow up repository, and a follow up engine.

Abstract: The present invention relates generally to a novel and improved method of loading clickstream data into a web analytics platform, and, a commercial off the shelf (COTS) web analytics platform. The process of loading traffic into COTS Web Analytics platform from clickstream data relates to: (1) the process of discovering ecommerce sales by looking for specific tracking beacons in clickstream or resource stream and loading them into a COTS web analytics platform; (2) a process of discovering website “goals” by looking for clusters of tracking “beacon” activity in clickstream or resource stream data; and (3) a process of unlocking the search term that a website visitor typed into a search engine immediately prior to visiting that website when web analytics platforms can't see that data for many searches (99%+) having all of the features described above.

Abstract: An analytical recognition system is includes a video camera configured to capture video data of a subject and an antenna configured to capture mobile communication device data relating to a mobile communication device of the subject. The system further includes a data analytics module configured to: analyze the video data to determine at least one of a physical attribute or a movement attribute of the subject and generate; generate a first certainty match value based on the at least one of the physical attribute or the movement attribute of the subject; and perform a facial recognition analysis of the subject to obtain facial recognition data.

Abstract: Disclosed are a data sample label processing method and apparatus.

Abstract: A computer implemented of evaluating market participants' stock portfolios and distributing actionable environmental, social and governance (ESG) stock data over a network to multiple remote market participant terminals allowing market participants to easily rebalance their portfolios so that their investments align with their personal values or social tolerances. The method comprises receiving from multiple sources non-standardized electronic ESG data for a plurality of securities, mapping, scaling and normalizing the data to present a final impact score that the market participant can act upon.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for managing business deals. The mechanisms and methods for managing business deals may enable embodiments to provide a dynamic and interactive user-interface including any combination of contacts, accounts, opportunities, allowing users to create tasks, events, leads (e.g., from Data.com), reports, dashboards, instant messenger, external deal spaces, email service (e.g., Outlook), a cloud-based productivity suite for businesses that allows work on any device (e.g., Google apps), mobile access, private messaging, lead management, mass email templates, social media monitoring (e.g., from Radian6), role-based sharing and security, and/or additional storage, for example. In an embodiment, the number of contacts may be unlimited.

Abstract: An approach is provided that transmit a first set survey questions to a user with each of the first set questions corresponding to a primary survey goal. Survey answers are then received from the user. A cognitive system is then used to determining an affinity level between the user and the primary survey goal. If the affinity level reaches a threshold, then a second set of questions is transmitted to the user with these questions also corresponding to the primary survey goal. However, if the first affinity level fails to reach the threshold, then the second set of questions are based on a secondary survey goal and these questions are transmitted to the user.

Abstract: An Internet browsing monitoring system has a web server providing a web page in which some of the elements associated with the browsing monitoring are encoded in the web page by a CSS code, the web page includes a mechanism detecting interactions to be logged, and, when a type of interaction to be logged is detected, sends the CSS code associated with the considered element with at least one indicator of the detected interaction to an interaction logging server. The interaction logging server has an input memory receiving the CSS codes associated with a considered element and the at least one indicator of the detected interaction and an extractor analyzing each CSS code associated with a considered element and the at least one indicator of the detected interaction, split them into chunks, encode at least some of the chunks in the form of a number, and store the resulting sequence of numbers encoding the chunks in a database.

Abstract: A method is provided for obtaining display data. The method includes: obtaining rendering data corresponding to an application program surface; obtaining, in response to detecting an operation of adjusting a dimension of the application program surface, a transformation coefficient corresponding to the application program surface, where the transformation coefficient is a scale value between a dimension of the application program surface after adjustment and a dimension before adjustment; and obtaining display data of a corresponding masking layer of the application program surface according to the transformation coefficient and the rendering data.

Abstract: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.

Abstract: Embodiments relate to a system, a program product, and a method to support a migration operation. Risk factors associated with a migration operation are assessed. The assessment includes assigning respective risk score values to the identified risk factors, assigning respective weight values to the identified risk factors, and calculating a composite risk score based on the assigned risk score values and the assigned weight values. At least one remediation action is recommended to reduce risk to the migration operation. The at least one recommended remediation action is implemented prior to execution of the migration operation. A migration plan incorporating the remediation action for the migration operation is generated. At least one machine learning (ML) model is employed in connection with (a) the subjecting of the identified risk factors to the assessment and/or (b) the recommending of at least one remediation action to reduce risk to the migration operation.

Abstract: An example apparatus includes an association controller to generate a tree structure association for a total audience size that accessed a plurality of media items, the tree structure association including a first node representative of a first media item accessed by first audience members of the total audience size and a second node representative of a second media item accessed by second audience members of the total audience size, a matrix generator to generate a matrix by selecting a sum of probabilities value corresponding to the tree structure association, the sum of probabilities value representative of a probability of the first audience members accessing the first media item and storing the sum of probabilities value in an element of the matrix, and a commercial solver to estimate a deduplicated audience size of the total audience size using the matrix.

Abstract: A method may include: providing a browser extension to user devices that is configured to: monitor data associated with website pages visited by the user devices; and in response to detecting that data associated with a website page is indicative of a presence of a platform, transmit a notification to an entity system, the notification including an identification of the website page and an identification of the platform; and in response to receiving the notification: generating and/or updating a database indicative of operation of the platform on one or more website pages based on the identification of the website page and the identification of the platform; quantifying a number of website pages on which the platform is operated based on the database; and determining a level of traffic to the website page.

Abstract: The invention relates generally to cryptographic techniques for secure processing, transmission and exchange of data. It also relates to peer-to-peer distributed ledgers such as (but not limited to) the Bitcoin blockchain. In particular, it relates to control solutions for identifying, protecting, extracting, transmitting and updating data in a cryptographically controlled and secure manner. It also relates to system inter-operability and the ability to communicate data between different and distinct computing systems.

Abstract: A computer-implemented method and system for streamlining interactions between a customer and a customer service representative of a company. An interaction is commenced between the customer and the customer service representative during which historical data is accessed related to the customer stored in a company controlled computer system responsive to the interaction. The historical data preferably relates to at least one product or service provided by the company to the customer. At least a part of the historical information is displayed to the customer service representative. On the display, a first tab is generated related to the historical data as is a second tab relating to a quote for a new product or service for offering to the customer. The customer service representative is thereafter enabled to switch between displaying the historical data and the quote by selecting the first or second tab, respectively, without having to save the quote.

Abstract: A method for computer modeling a retail environment includes: calculating a space elasticity for an item of an item category in a retail store, using a constrained linear regression model; calculating a cross-space elasticity for the item of the item category in the retail store, using a multiple regression model; generating a number for horizontal facings for the item of the item category in the retail store, using a non-linear multiple-constraint mixed integer optimization model, based on the space elasticity of the item and the cross-space elasticity of the item; and generating an electronic planogram of the item category for the retail store, based on the number of the horizontal facings of the item.

Abstract: A system and method of improving the Natural Language Understanding of a voice assistant. A first utterance is converted to text and parsed by a Bi-LSTM neural network to create a vector representing the utterance. A subsequent utterance is similarly converted into a representative vector and the two vector are combined to predict the true intent of a user's subsequent utterance in context with the initial utterance.

Abstract: An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors may be configured for integrating data stored in the disparate information systems utilizing a common model employed by the set of integration services. The common model may overlay, augment, integrate, or otherwise utilize a content management interoperability services data model and may include common property definitions and a common security model. The common security model may include permissions particularly defined for use by the set of integration services. These common property definitions and permissions may be uniquely defined and utilized by the information integration system.

Abstract: A technique includes modifying a first record based on a plurality of training records to provide a plurality of modified records. The plurality of training records are associated with a regression model, and a target outcome is associated with the first record. The technique includes applying the regression model to the plurality of modified records to provide outcomes for the modified records; and selecting a group of the modified records based at least in part on the outcomes for the modified records. The technique includes providing a recommendation for the first record to change an outcome predicted for the first record by the regression model based at least part on the target outcome and the outcomes for the modified records.

Abstract: Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

Abstract: A method for determining if a user's gaze is directed in the direction of a zone of interest in a 3D scene comprises: providing a 3D scene containing a zone of interest; associating a property with the zone of interest; creating a bitmap representing the location of the zone of interest in a projected view of the 3D scene, each pixel of the bitmap to which the zone of interest is projected storing the property of the zone of interest; detecting the direction of the user's gaze; using the bitmap to determine if the detected user's gaze is directed in the direction of the zone of interest.

Abstract: Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, a distributed control plane may be utilized that vests decision making authority at different levels within a hierarchy. The distributed control plane may utilize an intermediate representation of intent of users and through which flexibility of implementation may be maintained.

Abstract: Techniques and technologies for providing a fully managed datastore for clients to securely store, discover, retrieve, remove, and share curated data, or features, to develop machine learning (ML) models in an efficient manner. The feature store service may provide clients with the ability to create and store feature groups that include features and associated metadata providing clients with a quick understanding of features so that they may determine which features are suitable for training ML models and/or use with ML models. The feature store service may provide first a data store configured to store the most recent values associated with a feature group, such that client can access the features and utilize ML models to make real-time predictions with low latency and high throughput, and a second datastore configured to store historical values associated with a feature group, such that a client can utilize the features to train ML models.

Abstract: The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

Abstract: The system for recognizing one or more objects of a design creative within an environment, analyzing the one or more objects using a deep neural networking model and generating a modified design creative by (i) determining a location of a design creative within the media content, (iii) determining an object from the design creative, (iv) determining an attribute of the object, (v) implementing a compliance rule to the attribute of the object to determine a distinctness and an effectiveness of a brand product, (vi) generating an attention sequence and heatmap for the media content, (vii) automatically generating a first recommendation based on the compliance rule, the attention heatmap, and the attention sequence, and (viii) automatically generating a modified design creative for the environment based on the attention heatmap, the attention sequence and the generated first recommendation using the deep neural networking model.

Abstract: A computer-implemented method can facilitate delivery of targeted content to user devices in situations in which historic tracking data (e.g., cookie data) is generally unavailable and/or unreliable. A p-dimensional embedding of websites can be generated based on a group of user devices for whom tracking data is available. Conversion event data that indicates indicating whether that audience member performed a conversion action can be received. A machine learning model can be trained using the conversion event data and the positions of websites appearing in the conversion event data within the p-dimensional embedding to predict a likelihood of conversion and/or a type of content to provide given a position in the p-dimensional embedding. When an indication that a user device is accessing a website is received, a position of that website in the p-dimensional embedding can be determined and targeted content can be delivered to the user device.

Abstract: Strategic planning and strategy execution is important in organizations of various sizes and types, such as business and industry, government, and nonprofit organizations. While strategic planning and strategy execution are important, present systems and methods present challenges in providing for a system that links all aspects of strategic planning and strategy execution and communicates strategic planning and strategy execution throughout an organization. The present disclosure provides a system and method with an ability to articulate and align objectives, measures, targets, resources, activities, and outputs with desired outcome(s) and desired impact.

Abstract: A method, a computing unit and a system for token-based information exchange between a computing unit of a first entity (400A) and a computing unit of one second entity (400B) are presented. The method comprises obtaining (110) a token set (200A) associated with the first entity (400A) and a token set (200B) associated with the one second entity (400B), clustering (120) the token set (200A) associated with the first entity (400A) into clusters, requesting (130) information on tokens (205, 205A, 205B) from the computing unit of the one second entity (400B), receiving (140) information on said tokens (205, 205 A, 205B) from the computing unit of the one second entity (400B), determining (150) an active cluster associated with the first entity (400A), modifying (160) the token subset (310, 320) associated with the determined active cluster of the first entity (400A) at least partly with information on the received tokens (205, 205A, 205B) associated with the second entity (400B).

Abstract: Systems, methods, and non-transitory computer readable media are provided for providing category-sensitive chat channels. A category-sensitive chat channel may be provided. The category-sensitive chat channel may be assigned a given category level. The given category level may determine a scope of content allowed in the category-sensitive chat channel. Information to be posted through the category-sensitive chat channel may be obtained. The obtained information may be filtered based on the given category level. The filtered information may be posted in the category-sensitive chat channel.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: Data reduction services are implemented on one or more nodes of an IIoT data pipeline to intelligently determine an appropriate data reduction strategy based on characteristics of the incoming data. In one or more embodiments, data reduction components on the pipeline node or on an edge device define different data filtering rules or algorithms that are selectively applied to streaming time-series data based on a probability distribution of the data. The data pipeline node performs real-time distribution analysis on the streaming data to determine whether the data has a unimodal distribution, a multimodal distribution, or no mode, and selects one of the data filtering rules based on this determined probability distribution. In this way, the data is intelligently reduced in a manner that retains critical information within the reduced data set while achieving a high level of data reduction.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: A method and system for controlling the transfer of electrical power between a first electrical network and a second electrical network is disclosed. The method includes receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the supply of electrical power between the first electrical network and the second electrical network and modifying a demand characteristic of the second electrical network based on the pricing information.

Abstract: A method includes receiving, by a computing device, acceleration information from an acceleration sensor attached to a product; receiving, by the computing device, from an image capture device an image of a prospective purchaser of the product; determining, by the computing device, a movement of the prospective purchaser based on the acceleration information and the image, the movement being in relation to a movement of the product; and sending, by the computing device, display information to a digital display, the display information including information related to the product. The movement of the product is based on the acceleration information.

Abstract: A computer-implemented method for using machine learning to handle data in a computing system with improved efficiency can include obtaining a handling request associated with a data item, the handling request instructing the computing system to perform a handling operation with the data item, obtaining a trace log comprising one or more distributed trace items, the one or more distributed trace items including data from each of one or more services interacting with the data item, providing the trace log to a data characteristic prediction model including one or more machine-learned models, receiving, in response to providing the trace log to the data characteristic prediction model, one or more data characteristic predictions associated with the data item, and selecting a handling operation of a plurality of candidate handling operations based at least in part on the one or more data characteristic predictions.

Abstract: Various systems, mediums, and methods herein describe aspects of personal information platforms accessible with client devices over communication networks in data infrastructures. A system may determine data associated with a user. The system may determine a personal information platform (PIP) based on the data associated with the user, where the PIP is configured to identify a number of data types from the data associated with the user. The system may determine accesses for one or more entities to the number of data types based on one or more services provided by the one or more entities to the user. The system may cause a client device to display an indication of the PIP, where the indication provides the one or more accesses of the one or more entities.

Abstract: Computer systems and methods generate data examples by training, through machine learning, a data generator with a training objective to produce a data example for a specific value of R, where R is value related to S1(x) and S2(x), where, for a data example, x, generated by the data generator, S1(x) is a likelihood that the data example x is in a first class of a first selected data example and S2(x) is a likelihood that the data example x is in a second class of a second selected data example. S1(x) and S2(x) are determined by a discriminator that is trained through machine learning to discriminate between the first and second classes. After training the data generator, the data generator generates a synthetic data example for each of multiple specific values of R.

Abstract: A system and method are including a computer and a processor and memory. The computer receives a product class representing a product in a supply chain network including one or more supply chain entities and generates one or more new products for the product class using one or more automatically generated templates including a graphical representation of an exemplary product using a first smart product attribute value, the first smart product attribute value defined by a quantifiable measurement of a product attribute. The computer further causes items to be transported among the one or more supply chain entities to restock the inventory of the one or more items of the product class according to the current state of items in the supply chain network and the one or more new products.

Abstract: An information processing device includes a storage medium that stores computer-readable instructions, and a processor connected to the storage medium, in which the processor executes the computer-readable instructions to acquire virtual experience information indicating that a user has been provided with a virtual travel service to experience a virtual travel, and purchase information indicating that the user has purchased a right to receive a real travel service to experience a real travel, in a case where the virtual experience information and the purchase information are acquired, generate grant information for granting an incentive for the user to purchase the right to a provider of the virtual travel service or a provider providing an apparatus used for the virtual travel service, and output the grant information.

Abstract: This disclosure is directed to an apparatus for intelligent matching of disparate input data received from disparate input data systems in a complex computing network for establishing targeted communication to a computing device associated with the intelligently matched disparate input data.

Abstract: Computer-implemented systems and methods, trained through machine learning, score a sentiment expressed in a document. Individual sentences are scored and then overall document sentiment score is computed based on scores of individual sentences. Sentence scores can be computed with machine learning models. Digital matrix generator can generate N×M matrix for each sentence, where the matrix comprises vectors of word embeddings for the individual words of the sentence. A classifier computes a sentence sentiment score for each sentence based on the digital matrix for the sentence. Sentence sentiment scores computed by classifier can be adjusted based on a fuzzy matching of a phrase(s) in the sentence to key phrases in a lexicon that are labeled with a sentiment relevant to the context.

Abstract: A system, method, and computer-readable medium to extract information from at least one of code and text documentation, the extracted information conforming to a base ontology and being extracted in the context of a knowledge graph; add the extracted information to the knowledge graph; generate, in a mixed interaction with a user selectively in communication with the system, computational models including scientific knowledge; and persist, in a memory, a record of the generated computational models.

Abstract: System, apparatuses, and methods can provide customized exercise sessions and customized videos corresponding to the exercise session. Audio clips can be dynamically selected to make custom audio content for an exercise session. The audio clips and metadata can be obtained, where the audio clips correspond to categories. The exercise session can include one or more components. A destination timeline for a component can include one or more first segments that require audio, and one or more second segments that can optionally have audio. Audio clips can be selected for the various segments, where a segment can be designated for a particular category of audio clips. Identification information for the selected audio clips can be saved and used to generate the custom audio content.

Abstract: In various embodiments, a mentor application automatically obtains assistance with software applications. The mentor application generates a computer-generated help request associated with a first user of a software application. Based on the computer-generated help request and a set of user contexts associated with a set of users, the mentor application computes match scores. Each match score predicts how suitable a particular user is for servicing the computer-generated help request. Based on the match scores, the mentor application transmits at least one help request notification to at least one user included in the set of users to determine a second user to service the computer-generated help request. The mentor application then establishes a computer connection between the first user and the second user through which an interactive help session between the first user and the second user is held.

Abstract: This disclosure describes techniques for optimizing operational performance of femtocell devices deployed within a telecommunications network. More particularly, a femtocell Optimization (FCO) system is described that monitors a performance state of femtocell devices within a telecommunications network, detects a change in performance state of a particular femtocell device, and preemptively deploys a first set of service resolution data to detect a service issue. In response to detecting a service issue, a second set of service resolution data is deployed to preemptively resolve the service issue.

Abstract: Embodiments are directed to computer systems and methods that provide a data-driven approach to product benchmarking. The systems and methods identify a product being developed on a product development platform. The systems and methods repeatedly evaluate products similar in operation to the identified product. In response to the evaluation, the systems and methods automatically determine current performance capabilities of the similar products and digitize the determined current performance capabilities as current benchmark parameters in a central database integrated within the platform. The systems and methods generate output, by an application of the platform, based on searching the current benchmark parameters in the database, and develop functions and parts for the identified product using the generated output.

Abstract: There is provided a method of evaluating user churn in wireless networks. The method includes receiving data from a plurality of wireless electronic devices connected to and operating in a plurality wireless networks and/or network types, wherein the data has been collected for each wireless electronic device by wireless device software embedded in an application or memory of the respective wireless electronic device and configured to collect the data when the wireless electronic device accesses one or more of the plurality of wireless networks and/or network types, and wherein the data comprises one or more identifiers associated with the wireless electronic device or a user of the wireless electronic device.