Abstract: One exemplary implementation provides an improved user experience on a device by using physiological data to initiate a user interaction for the user experience based on an identified interest or intention of a user. For example, a sensor may obtain physiological data (e.g., pupil diameter) of a user during a user experience in which content is displayed on a display. The physiological data varies over time during the user experience and a pattern is detected. The detected pattern is used to identify an interest of the user in the content or an intention of the user regarding the content. The user interaction is then initiated based on the identified interest or the identified intention.

Abstract: One or more systems, computer-implemented methods and/or computer program products to facilitate a process to monitor and/or facilitate a modification to a manufacturing process. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that identifies values of inflow data of one or more inflows of a set of inflows to a manufacturing process as control variables, and a computation optimization component that optimizes one or more intermediate flows, outflows or flow qualities of the manufacturing process using, for mode-specific regression models, decision variables that are based on a set of joint-levels of the control variables. An operation mode determination component can determine operation modes of the manufacturing process that are together defined by a set of joint-levels of the control variables.

Abstract: A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user.

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: A communication server supports automatic content receipt and distribution. The communication server receives a set of content objects, where a content object of the set is associated with a set of target group identifiers. A content object of the set may include different versions of content for ABn and/or multivariate testing. The communication server generates target segment identifier combinations and distributes versions of messages proportionally to each user identifier associated with the target segment combinations. The server generates engagement metrics corresponding to interaction by the user identifiers with the messages. The metrics may be generated for each message version, each group of users, and each group combination.

Abstract: An electronic receipt system may generate electronic documents including receipt content associated with a transaction between an account holder and a third party, and automatically link the electronic documents to secure records corresponding to account transaction records in a secure database. An account holder may subsequently view an electronic document including the receipt from a secure network platform displaying the secure records for multiple transactions in the account. In some aspects, the electronic receipt system may retrieve the receipt from an email message transmitted to an email address assigned to the account holder by the electronic receipt system. In other aspects, the electronic receipt may be retrieved using an application on a user device corresponding to the electronic receipt system.

Abstract: Video of customer faces during checkouts are captured in real time and analyzed to assign identifiers for expressions of the customers. Simultaneously, transaction data and events being raised for the checkouts are correlated based on time stamps with the expression identifiers. A collection of data captured for the correlated transaction data, events, and identifiers are processed by a machine-learning algorithm to identify clusters and/or patterns between the expression identifiers and specific transaction events. The clusters are mined and reported to a retailer for identifying points during the workflow for the checkouts, transaction interface components, transaction terminal settings, transaction terminal peripherals, etc. that are potentially causing negative customer reactions during the checkouts.

Abstract: Dynamic object customization is disclosed. A template associated with content to be published on behalf of one or more entities is obtained. The template includes at least one variable. For each entity in the one or more entities, a data store including information pertaining to the entity is queried based at least in part on the at least one variable included in the template. In response to the query, one or more data values corresponding to the at least one variable are obtained. An object is generated based at least in part on the template. The at least one variable is populated using the obtained one or more data values. The generated object is provided as output to be published on behalf of the entity.

Abstract: Systems and methods for assessment of user price sensitivity using a predictive model are disclosed.

Abstract: An apparatus and method for optimal zone strategy selection. The apparatus includes a processor configured to receive user data, generate a user goal using a target machine-learning model, generate zone strategies based on the user goal, generate a plurality of zone strategy scores a function of the zone strategies, determine follow through data as a function of the plurality of zone strategy scores and the zone strategies, populate a user interface data structure, wherein the user interface data structure includes a visual representation of the zone strategies and the follow-through data, and transmit the user interface data structure to a display device communicatively connected to the processor.

Abstract: The automated collection of online data is enhanced by generating and saving a context between a document and a related named entity, as well as a credibility level of the online source. The context, credibility level, and quality and quantity of collected data are used to enhance the use of the collected data in automated decision-making. Both the quality and the quantity may be continuously updated and honed through machine learning. Three new algorithms—DUPES, CORRAL, and ONTO—have been introduced to support the above, improving current state-of-the-art engineering practice by sharpening the strategy for named-entity searching, for ensuring that topic modeling produces relevant topic tags, and for handling sentiment which may be NEGATIVE, POSITIVE, and NEUTRAL (which includes MISSING and INCONCLUSIVE).

Abstract: An embodiment of the present invention is directed to enabling real-time data processing to analytical applications that use a real-time cache to drive business decisions. An embodiment of the present invention is directed to limiting data transformation (e.g., transforming data only once) and making it available for multiple consumers and stores. For example, an embodiment of the present invention is directed to an elastic extract transform load (ETL) extension to a strategic data transformation pipeline to support uniform content distribution to various stores as well as reactive processing. Data transformations may be treated as ETL, ensuring operational and analytical stores see and act on the same data.

Abstract: A level of busyness of a public place may be represented using content specific to the public place. Images, video, audio, or other content captured at the public place is correlated with busyness information for the public place at the time of capture. Representative content is selected and stored based on a number of factors such as to minimize resources in storing and transmitting the content. The selected representative content may be provided in response to a user request for information related to the public place, such that the user receives an accurate portrayal of how the public place would look, sound, and/or feel at a given time.

Abstract: Input data comprises an order to provide a quantity of one or more finished goods to a site. Software is programmed for: accessing information that defines an architecture of a supply chain network comprising a plurality of sites connected by a plurality of path fragments; generating one or more path solutions to fulfill the order; removing one or more loops from the one or more path solutions; generating based on the one or more path solutions and the one or more removed loops, one or more revised path solutions; outputting the one or more revised path solutions for display on a client device; and transmitting, only to computers of the sites of a revised subset of a plurality of path fragments, a plurality of signals to initiate movement of one or more of raw materials or finished goods.

Abstract: A method may include scraping published internet data from one or more data sources based on or more environmental parameters, one or more social parameters, or one or more governance parameters. The method may also include receiving user data from an account database, a user device, or both; identifying correlations between the user data and the published internet data; wherein the correlations are associated with environmental parameters, social parameters, or governance parameters. The method may also include generating a dynamic interest report based on the correlations, wherein the dynamic interest report comprises recommendations of one or more events, one or more content items, or both associated with environmental, social, and governance (ESG) compliance. The method may then involve sending the dynamic interest report to the user device.

Abstract: Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

Abstract: A system and method for optimizing an objective having discrete constraints using a dataset, the dataset including a plurality of aspects associated with the objective. The method comprising: receiving the dataset, the objective, and constraints, at least one of the constraints comprising discrete values; receiving a seed solution comprising initial values for the at least the constraints; iteratively performing until a predetermined threshold is reached: determining a constraint space for each of the constraints have discrete values using a determination of a constraint satisfaction problem; determining an optimized value of the objective using an optimization model, the optimization model taking as input the dataset and the constraint space; and outputting the optimized objective.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying, by executing an instruction with a processor, in the return path data, first tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events, determining, by executing an instruction with a processor, a ratio between first tuning events in the return path data and second tuning events in the return path data, the first tuning events attributed to the first group of the set top boxes, the second tuning events attributed to a second group of the set top boxes classified at not associated with machine events, and in response to the ratio satisfying a threshold during a time interval, removing second tuning data associated with the time interval from the first tuning data.

Abstract: The embodiments disclose a method for displaying contextual targeted advertising to healthcare professionals including receiving in a master database a plurality of words that includes titles and keywords associated with plural distinct medical healthcare professional specialties, generating, with a first processor, plural taxonomy and vocabulary based on the received plurality of words of the plural distinct medical healthcare professional specialties, tracking, with a second processor, a context of frequent browsing and reading history of online life sciences content of a healthcare professional user, identifying, with the second processor, a distinct medical healthcare professional specialty associated with the healthcare professional user based on matches in the master database with the context, comparing, with a third processor, contextual targeted advertising with the matches, and converting, with the third processor, advertising queries from advertisers to displayed targeted advertising presented to he

Abstract: The present disclosure facilitates interfacing between a sales management system and a project planning system. In some embodiments, the system includes an interface and schedule engine, both executing on a server. The interface can parse a sales order from the sales management system into products and project tasks within the products. The products can also include at least one of a labor product, a parts product, and an agreements product. The schedule engine can generate schedule tasks corresponding to the project tasks, determine a performance order of the schedule tasks, and combine the schedule tasks into schedule phases based on the performance order. The schedule engine can determine a performance order of the schedule phases and combine the schedule phases into a schedule component based on the performance order. The interface can transmit the schedule component to the project planning system for execution.

Abstract: To present a region which is not fully monitored, provided is a monitoring device comprising a detection means, an estimation means, a determination means, and a presentation means. The detection means detects a person from an image. The estimation means estimates a region which is being viewed by the person who is detected by the detection means. On the basis of the region estimated by the estimation means, the determination means determines a region which requires special attention within a monitoring area. The presentation means presents information indicating the region which requires special attention determined by the determination means.

Abstract: Systems and techniques that facilitate empathetic or emotional query response are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a first machine learning model that generates a first response portion, wherein the first response portion comprises a technical response to the input query, and a second machine learning model that generates a second response portion, wherein the second response portion comprises an empathetic or emotional response to the emotion portion of the input query.

Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.

Abstract: Disclosed are systems and methods for identifying location-based information associated with a product on a web page. The method may include: detecting user navigation by the user of the web page; detecting the at least one product on the web page; identifying one or more merchants having the detected at least one product in stock; determining a user location of the user; determining the identified one or more merchants having the detected at least one product in stock and having a location within a predetermined distance of the user location; generating a list of merchants, the list including the determined one or more merchants having the detected at least one product in stock and having the location within the predetermined distance of the user location; and executing a browser extension to display, on the web page associated with the at least one product, the generated list of merchants.

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 computer-implemented method for facilitating effective sales via a graphical user interface (GUI). The method may include the act of providing a database that includes sales information for potential sales targets. In an embodiment, the method further includes querying the database to identify each of a plurality of potential sales targets within a pre-determined sales region. A step includes generating a first graphical user interface (“GUI”) at an electronic display of a mobile device, where the GUI includes an image of a map of the pre-determined sales region and visual icons depicted on the map at positions corresponding with the geographic location of each of the plurality of potential sales targets within the sales region.

Abstract: A system according to an embodiment of the present disclosure is a system for displaying a video captured by a camera connected to a network. The system is configured to set, in response to instructions from a user, a first threshold regarding the number of people staying in a target area and a second threshold regarding a period of time during which the people stay in the target area, measure the number of people staying in the target area and a period of time during which the people stay in the target area, generate a thumbnail showing a video when the number of people staying in the target area for a period of time equal to or longer than the second threshold is equal to or greater than the first threshold, and display the thumbnail generated.

Abstract: An invention is disclosed for systems, methods, processes, and products of providing computing and online services. An embodiment of such a system, method, process, or product, among other things, may provide a more reliable, accurate, or otherwise effective way of determining and presenting relevant information to users, consumers, and the like.

Abstract: A computer system for identifying merchant category code misclassifications includes at least one processor in communication with a transaction database and a merchant database. The transaction database stores transaction records by a plurality of account holders. The processor generates a first MCC profile including at least one transaction characteristic representative of merchants properly classified as the first MCC and comparing the first MCC profile to a second set of transaction records. If the comparison satisfies a comparison threshold for the first MCC the processor identifies the corresponding selected merchant as being MCC misclassified.

Abstract: An interaction detection method is provided. The method includes the steps of: acquiring one or more frame images; acquiring pose data of a first object using information on a plurality of feature points detected for the first object from a first frame image; determining occurrence of an interaction of the first object using the pose data of the first object; estimating a region of interest (ROI) of the first object using the information on the plurality of feature points; and acquiring information on a product corresponding to the region of interest of the first object.

Abstract: A system, method, and computer-readable medium are disclosed for performing a human experience operation. The human experience operation includes receiving standardized human experience concepts and categorized human experience concepts; performing an analysis operation, the analysis engine receiving the categorized corresponding concepts and mapping the categorized human experience concepts to human experience enhancement objectives to provide a mapped human experience insight; and, providing the mapped human experience insight to a results engine, the results engine using the mapped human experience insight generate a human experience recommendation.

Abstract: The present disclosure generally relates to a method and a hardware and software system for collecting data from retail point of sale. The hardware connects to a wide variety of barcode scanners and receipt printers. Collected data is transmitted to a cloud-based infrastructure backend system using a wireless internet connection built into the hardware. The collected data can be processed to extract item-level transaction information, and estimate the price and in-stock status of items in particular shops. A search engine can be provided using this data, which allows a customer to discover which nearby shop has an item of interest in stock. A targeted advertising system that complements this search service is also presented. The data can be used by retailers and manufacturers for business analysis and optimization.

Abstract: A system for identifying an Object Impression (OI), indicative of the viewability of an object over a time period during which a plurality of frames are displayed to a user, exceeding a threshold, the system comprising a processing resource configured to perform the following: for each frame of the plurality of frames, calculate a Frame OI Value (FOIV), based on an object's viewability score calculated for the corresponding frame, wherein the object's viewability score is calculated based on a first value indicative of a relative portion of the object from the viewport and a second value indicative of a relative portion of the object visible in the viewport, and a time duration during which the corresponding frame is displayed; and, aggregate the FOIVs calculated for the plurality of frames, giving rise to an Aggregated OI Value (AOIV), such that upon the AOIV exceeding a second threshold, the OI is identified.

Abstract: Methods, apparatus, and processor-readable storage media for automatically determining enterprise-related action sequences using artificial intelligence techniques are provided herein. An example computer-implemented method includes identifying at least one enterprise-related prospect by processing data pertaining to one or more entities; classifying the at least one enterprise-related prospect, based at least in part on estimated prospect conversion time, by using at least a first set of one or more artificial intelligence techniques; determining at least one prospect conversion action sequence for the at least one enterprise-related prospect, based at least in part on the classifying of the at least one enterprise-related prospect, by using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one prospect conversion action sequence.

Abstract: An apparatus for enhanced outreach, the apparatus comprising a computing device configured to receive user data, identify one or more sets of potential data as a function of user data wherein each set of potential data is associated with a potential target, calculate one or more outreach indexes as a function of the one or more sets of potential data comprising, receiving at least one indicator weighting, calculating the one or more outreach indexes as a function of the at least one indicator weighting, sort the one or more sets of potential data as a function of the one or more outreach indexes, determine one or more outreach recommendations as a function of the one or more outreach indexes and the one of more sets of potential data, create a user interface data structure and visually display the user interface data structure as a function of a graphical user interface.

Abstract: An information presentation method includes: sequentially obtaining, from a first appliance, appliance data including an operation status of the first appliance; receiving, from a second appliance different from the first appliance, notification of an opportunity of presenting information by the second appliance; determining, after receiving the notification in the receiving, whether to present the information by the second appliance, based on the appliance data obtained in the sequentially obtaining; and instructing the second appliance to present the information when determining to present the information by the second appliance in the determining, and prohibiting the second appliance from presenting the information when determining not to present the information by the second appliance in the determining.

Abstract: Systems and methods relating to a keyboard interceptor on a mobile device are disclosed. The keyboard interceptor receives a first input and generates a search query based on the first input. Data is located based on the search query, the located data being associated with a record, the record comprising a record identifier. The located data comprises at least one of: a coupon code, and one or more survey questions. The keyboard application associates a GUI element with the record identifier and receives a second input, by a user, corresponding to selection of the GUI element. Responsive to receiving the second input, the keyboard application performs an action comprising one of: passing the coupon code into a text field within a webpage, and displaying the one or more survey questions in the GUI of the mobile device.

Abstract: An information processing device system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a customer identifier (ID) that identifies a customer at a store; generate action information that represents an action of the customer in the store; and assign points in association with the customer ID based on the action information.

Abstract: Systems and methods for generating and using seasonal affinity scores is disclosed. A set of user-specific historical transaction data is obtained and a user-specific affinity score including at least one of a user-specific season affinity score or a user-specific seasonal theme affinity score is determined by determining one or more product affinity scores for a set of product taxonomies and combining the one or more product affinity scores with one or more product index scores to generate the user-specific affinity score. The product affinity scores are determined by a trained scoring calculation model configured to receive the set of user-specific historical transaction data. One or more interface elements are selected based on the user-specific affinity score and an interface is generated including the one or more interface elements.

Abstract: Systems and methods for real-time bidding of advertisement during live event broadcasting are disclosed including calculating intensity levels during a live event, opening advertisement space on screen for real-time bidding based on intensity levels, and displaying an advertisement in the advertisement space as an overlay on video images of the live event broadcasting.

Abstract: The subject technology predicts consumer sentiment based on demographics and other statics features of the consumer as well as dynamic features generated based on engagement of the consumer with previously presented targeted content. The sentiment predictions are used to recommend and generated new targeted content that is published to the consumer.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.

Abstract: A computer implemented method 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: A method implemented by a computer comprising collecting historical data for a plurality of items; categorizing each of the plurality of items; assigning at least one of the plurality of items as an index item for at least another of the plurality of items; collecting data for a plurality of context parameters related to at least one of the plurality of items; and forecasting a value for one of the plurality of items needed over a future period of time, wherein the method reduces a data storage capacity requirement for the computer and increases said computer's processing speed.

Abstract: A transaction card package assembly comprising at least one transaction card, at least one sample product, and a card holder, and methods and system for processing the same.

Abstract: Systems and methods for change management are provided. An electronic product and/or service provisioning system is tracked as a function of experiences. Changes are implemented at a process level, where two or more processes make up an experience.

Abstract: Provided is an application of the described (or similar) decision-theoretic approaches to ensure the quality, output and timeliness of manufactured products for flexible and adaptable production systems, by determining and integrating suitable quality assurance measures which are integrated into the production process in an optimal manner. Thereby, a pareto-optimal sequence of production steps and quality assurance mechanisms are determined that provides an optimal trade-off between target product quality, production time and production costs. Since the approach is performed in an automated way, it can even be performed for flexible production scenarios down to a production of lot size I.

Abstract: An information processing apparatus (10) includes a differential information generation unit (110) and an evaluation information output unit (120). The differential information generation unit (110) determines a combination of a first product package design and a second product package design, based on input information, and generates differential information indicating magnitude of a difference between the first product package design and the second product package design. The evaluation information output unit (120) evaluates a conspicuous degree of the difference between the first product package design and the second product package design, based on the differential information, and outputs evaluation information indicating an evaluation result of the conspicuous degree.

Abstract: Techniques for managing a collaborative data management and deployment platform and generating customizable blueprints for a data deployment program are disclosed. Techniques include receiving one or more parameters for generating the blueprint for the program, receiving a selection of one or more blueprint components satisfying the one or more parameters, and generating the blueprint template as a function of the selected components. In addition, one or more data sets for use in a program are obtained. A selection of the blueprint template is received. Objects of the selected blueprint are mapped to the one or more data sets. The selected blueprint is mapped to one or more third-party data channels.

Abstract: In one example embodiment, a communication group for a communication space is determined from among a plurality of communication groups of a communication system based on comparisons of a plurality of attributes of the communication space to corresponding attributes and content of the plurality of communication groups. The communication space includes communication sessions between members and the plurality of communication groups include one or more from a group of communication spaces and communication threads. The communication space is placed within the communication group on the communication system.