Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: A browsing history associated with a user of a client device is received from the client device. One or more keywords associated with a target audience for a variant of a web page are received from a content provider system. A score is determined for the user based on the browsing history for the user and the one or more keywords associated with the target audience. The user is identified as part of the target audience based on the score for the user satisfying a score threshold. The variant of the web page is caused to be presented at the client device associated with the user.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to monitor auditing devices. An example apparatus includes a workload analyzer to obtain alert data related to a potential new product from an auditing device, and a product analyzer to identify a product within the alert data to determine if the product has been previously identified by another auditing device. In response to determining that the product has not been previously identified, the example apparatus includes an alert analyzer to cluster the alert data based on characteristics associated with an auditor profile of the auditing device, and determine a probability of transmitting the alert data to other auditing devices based on the clustered alert data. The example apparatus also includes an alert authorizer to suppress the alert data from being transmitted to the other auditing devices to reduce an amount of network resources required for subsequent processing when the probability does not satisfy a threshold.

Abstract: Methods and systems for providing accounting services and corporate strategic planning services that comprise processing and aggregating financial transaction data and a plurality of input variables for maintaining a subscriber's general ledger, outputting audit ready financial reports, providing strategic planning inputs and by using at least one of semi-automated and machine learning algorithms are disclosed.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: The systems may include receiving, by a processor, transaction information for a transaction, wherein the transaction information comprises a transaction amount; matching, by the processor, the transaction information with a transaction type; retrieving, by the processor, a plurality of possible charge types associated with the transaction type; comparing, by the processor, the transaction information with the plurality of possible charge types; separating, by the processor, the transaction amount of the transaction information into at least one individual charge amount; and/or identifying, by the processor, a charge type of the plurality of possible charge types associated with the at least one individual charge amount.

Abstract: Systems, methods, and computer-readable media are provided to assist users to locate content of interest based on viewer ratings. First information enabling unique identification of a first user may be processed. Indications of ratings of television programming may be processed, the indications being received from a first media device associated with the first user. Ratings information associated with the first user may be retained in repositories, the ratings information being based on the indications. The first user may be matched to a category that represents a classification of a set of viewers and/or of a set of content based on a set of attributes. Descriptive content indicative of the first user and/or content rated by the first user may be selected and may be transmitted via the network to a second media device associated with a second user.

Abstract: A graphical user interface (GUI) may be provided by a computing system that implements a database system for presentation at a client device. The GUI may display a designated one or more criteria for selecting one of a plurality of recommendations for a target object instance associated with a designated object definition. A predictive model for determining a propensity score for selected ones of the plurality of recommendations in association with the target object instance may be configured. The propensity score may be a function of one or more data field values associated with the target object instance and may be configured based on user input received via the graphical user interface. The predictive model may be stored on a storage medium for retrieval when selecting recommendations in response to requests received to access instances of the designated object definition.

Abstract: Technologies for audiovisual communication include an audiovisual server and a number of audiovisual client devices, including a presenter device and a number of audience devices. Each audience device captures an audiovisual stream and transmits the audiovisual stream to the audiovisual server. Each audience device also captures sensor input data such as eye tracking data or facial expression data and transmits abstracted sensor input data to the audiovisual server. The abstracted sensor input data may be based on the captured audiovisual stream. The audiovisual server determines an interestingness rating associated with each audience device based on the sensor input data, and selects one or more audiovisual streams based on the interestingness ratings. The audiovisual server transmits the selected audiovisual streams to the presenter device. The audiovisual server may update the interestingness rating algorithm based on feedback from the presenter device or the audience devices.

Abstract: Apparatus and methods of instruction presentations to a ‘virtual’ audience or students including real-time information formed from observable audience reactions as they receive the presentation material, and further includes apparatus and methods to correlate the detected or missing audience reactions in relation to specific presented material, rapidly prompting the presenter and/or the audience with specific, timely, low-latency feedback. The presenter is alerted (possibly before an audience question can be formulated), and the audience member is prompted that there may be questions or contributions regarding a specific matter as it is presented, whereupon the audience member is given the freedom to join or question (or not).

Abstract: This specification relates to methods and systems for providing intuitive navigation of a set of entities. One of the methods includes determining n-dimensional embeddings representing entities; reducing the n-dimensional embeddings representing entities into a 2-dimensional representation of the entities; forwarding, for display on a user's computing device, the 2-dimensional representation of the entities; receiving an input from the user's computing device; responsive to the input, determining an additional 2-dimensional entity representation; and forwarding, for display on the user's computing device, the additional 2-dimensional entity representation.

Abstract: Provided is a method for automatically performing image alignment without a user input. An image alignment method performed by an image alignment device, according to one embodiment of the present invention, can comprise the steps of: recognizing at least one person in an inputted image; determining a person-of-interest among the recognized persons; and performing image alignment, on the basis of the person-of-interest, on the inputted image, wherein the image alignment is performed without an input of a user of the image alignment device for the image alignment.

Abstract: This application relates to apparatus and methods for automatically providing item reviews. In some examples, a website provides a widget on a website allowing a customer to request an item review for an item. In response to the customer requesting the item review, a computing device determine whether suitable reviews for the item are available. If suitable reviews are available, the reviews are provided to the customer requesting the item review. If suitable reviews are not available, the computing device determines a set of customers to request item reviews for the item from, and provides item review requests to the determined set of customers. The computing device receives responses to the item review requests received from the set of customers, and provides an item review based on the received item review requests. In some examples, the website provides the item review to the customer requesting the item review.

Abstract: Disclosed herein are systems and methods for managing access to data objects in cloud storage. In one aspect, an exemplary method comprises storing, by a processor, a data object in a storage device of a cloud storage service for a duration of time, wherein the data object is accessible to a plurality of user accounts. The method comprises extending the duration of time for retaining the data object on the storage device to a first extended duration when a degree of access of the data object by the plurality of user accounts meets a target threshold value during the duration of time. The method further comprises extending the duration of time for retaining the data object on the storage device to a second extended duration when the degree of access does not meet the target threshold value during the duration of time.

Abstract: A computer program, computer-implemented process, and/or an apparatus may detect an event in a webpage or an application, and adjust a lead score by comparing the event with implicit lead scoring rules, explicit lead scoring rules, lead state, or any combination thereof. Using the lead score, the event is assigned to a category or classification for purposes of identifying a positive or negative lead.

Abstract: A computer implemented method of access control for a restricted resource of a resource provider in a network connected computer system, wherein a blockchain data structure accessible via the network stores digitally signed records validated by network connected miner software components, the method including: identifying an access control role definition for access to the resource, the role including a specification of access permissions; defining a cryptocurrency for indicating authorization to access the resource, the cryptocurrency being formed of tradeable units of value associated with records in the blockchain and wherein transfer of the cryptocurrency between records in the blockchain is validated by the miners; receiving a request from an authenticated resource consumer for authorization to access the resource; and submitting a blockchain transaction to the miner components to transfer a quantity of cryptocurrency to a consumer record in the blockchain, the transaction including an identification of

Abstract: A system and method for facilitating a user to initiate and accept an assistance request through a chat session is disclosed. Controls may be provided in a graphical chat interface to enable the user to specify inputs to request assistance from other users participating in the chat session. An assistance request may be generated and communicated to those users through the chat session. Graphical representation for the assistance request and controls that facilitate the users to accept the assistance request may be provided in the graphical chat interface. Upon an acceptance to the assistance request by a responding user through the graphical chat interface, an assistance command may be generated and executed in the virtual space.

Abstract: An online host for conducting a promotion campaign is presented. Online behaviors of subscribers exposed by the promotion campaign are tracked for determining conversion counts for the promotion campaign. For exposed subscribers whose online behaviors are not sufficiently available to the online host to determine conversion counts (non-measurable subscribers), a machine learning model is trained to predict conversion counts based on online behaviors that are conducted on internet locations under control of the online service, and further trained to determine an estimated error rate regarding the predicted conversion counts.

Abstract: A system for autonomously monitoring and managing consumer device assets includes a plurality of consumer device assets registered with a remote computer server platform. The remote computer server platform is configured to execute software applications for monitoring and managing the consumer device assets. The consumer device assets communicate operational status information and consumer usage information to the remote computer server platform automatically as a result of pre-programmed conditions and/or instructions received from the remote computer server platform. The remote computer server platform monitors the consumer device assets by processing the operational status information and consumer usage information automatically according to preprogrammed conditions.

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: A quantification system is configured for debiasing media creative efficiency. In some embodiments, the quantification system leverages a weighted generalized linear model (GLM) to determine the individual impacts of media creatives beyond network effects. To prepare input data for fitting the weighted GLM, the quantification system analyzes spot airing data, creates a specific data structure for storing observations (e.g., network-media creative combinations) that can be provided to the weight GLM as input, and computes additional input data points needed by the weighted GLM (e.g., network spend, media creative efficiency per network-media creative combination, etc.). The weighted GLM is then fitted to obtain coefficients representing the individual impacts of the media creatives. The quantification system utilizes the computed impacts to adjust the previously computed media creative efficiency for each media creative.

Abstract: A method for managing multimedia files includes an operating step whereby at least one playback management object of one or several multimedia files is generated, said playback management object including at least one playback parameter of multimedia files, said operating step whereby at least one playback management object is generated including at least an operating step whereby said at least one playback parameter of multimedia files is generated. The method also comprises an operating step whereby at least one link between said playback management object and at least a first multimedia file is generated, the operating step whereby said at least one playback management object and/or said link are stored in a memory and an operating step whereby at least a first multimedia file or a plurality of multimedia files are played, as a function of said at least one playback parameter of said playback management object.

Abstract: Methods and systems for authorizing the access of a service are described. A server is operative to receive a request to subscribe to a service. The server is to receive from the requestor a selected service offer from the set of service offers, where the selected service offer is cryptographically signed with the private key of the requestor and the private key of the service. The server is further to record a delegation contract into a blockchain database, where the delegation contract includes an identification of the service, an identification of the requestor, and the service offer that is cryptographically signed with the private keys of the requestor and the service. The server is to transmit, to the requestor, a confirmation that the service can be accessed based on the selected service offer; and transmit to the service the delegation contract causing the service to provide access to the requestor.

Abstract: Disclosed herein is a method and system for collecting attentiveness information associated with a user's response to consuming a piece of media content. The attentiveness information is used to create an attentiveness-labelled behavioural data for the user's response. A computer-implemented attentiveness model may be generated by applying machine learning techniques to the a set of attentiveness-labelled behavioural data from multiple users. The system may comprise an annotation tool that facilitates human labelling of the user's response with attentiveness data. The resulting attentiveness model is therefore based on correlations indicative of attentiveness within the attentiveness-labelled behavioural data and/or physiological data that are based on real human cognition rather than a predetermined feature or combination of features.

Abstract: A point-of-sale terminal is provided. The point-of-sale terminal includes a processor and a memory configured to store transaction data therein. The point-of-sale terminal further includes a network interface configured to connect to a computing network. The network interface is further configured to receive, from the network, a message comprising blockchain information. The point-of-sale terminal is configured to store the transaction data in a blockchain ledger.

Abstract: Exemplary embodiments of the present disclosure provide for cleansing data generated by one or more servers in response to database interactions resulting from an automated software robot interacting with the one or more servers via a telecommunications network. Log entries in usage logs corresponding to events during a session can be analyzed to determine relationships between events and the usage logs can be classified based on the relationships as either corresponding to human behavior or automated software robot behavior. Usage logs corresponding to automated software robot behavior can be removed from further analysis.

Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Abstract: Systems, methods, and other embodiments associated with incrementally swapping items in an assortment are described. In one embodiment, a computing system includes demand logic configured to read data from an electronic data structure that defines an assortment. The assortment defines a subset of items from a product category. The demand logic is configured to generate forecasted changes to an associated metric value by generating demand transference values for (i) individually removing each item presently in the assortment and (ii) individually adding each item of a set of available items of the product category. The computing system includes assortment logic configured to transform the electronic data structure that defines the assortment according to the forecasted changes by incrementally swapping items in the assortment for new items in the available set of items until the forecasted changes between items in the assortment and new items in the set of available items satisfy a predefined condition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: A method may include receiving, from a software application, pre-signup data of a user, embedding the pre-signup data to obtain a pre-signup data vector, generating, by applying a topic model to the pre-signup data vector, a pre-signup topic vector, receiving action descriptions of actions of the software application, embedding the action descriptions to obtain action description vectors, generating, by applying the topic model to the action description vectors, action description topic vectors, generating scores by multiplying the pre-signup topic vector and the action description topic vectors, and recommending, to the user and using the scores, an action.

Abstract: A method, apparatus and computer program product are provided for identifying a service need via a promotional system, and offering the service need to a third party. Promotions may be offered via a promotional system for a consumer to purchase in exchange for a discounted product or service from a provider. Demand information, which may be collected based on promotions and/or other sources. A residual demand may be calculated based on the demand information and available inventory. The residual demand may be utilized to identify a service need. The service need may be identified in a geographic area having a similar demographic to a geographic area having an associated successful promotion. A service need may be provided to a third party or provider, and may indicate the need for a new business or expansion of a current business.

Abstract: A system is provided for identifying consumer packaged goods (CPGs).

Abstract: The disclosure provides a data processing device and method. The data processing device may include: a task configuration information storage unit and a task queue configuration unit. The task configuration information storage unit is configured to store configuration information of tasks. The task queue configuration unit is configured to configure a task queue according to the configuration information stored in the task configuration information storage unit. According to the disclosure, a task queue may be configured according to the configuration information.

Abstract: This disclosure generally covers systems and methods that determine demographic labels for a user or a group of users by using digital inputs within a predictive model for demographic classification. In particular, the disclosed systems and methods use a unique combination of classification algorithms to determine demographic labels for users as a potential audience of digital content items. When applying the combination of classification algorithms, the disclosed systems and methods use a first classification algorithm to determine user-level-latent features for each user within a group of users based on demographic-label statistics associated with particular digital content items. The disclosed systems and methods then use the user-level-latent features and session-level features (from sessions of each user consuming the digital content items) as inputs in a second classification algorithm to determine a demographic label for each user within the group of users.

Abstract: Methods and systems are provided for training a neural network to track viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.

Abstract: A communication system and method are provided for prioritizing the collection of evidence leads. Geographic mass messaging notifications are sent out alerting to an incident in conjunction with a request for incident information. Responding devices are prioritized based on device parameter information. The prioritization enables transient devices to be provided with a higher priority than non-transient devices. The assigned priority facilitates investigative follow-up of a plurality of evidence leads prior to the review of actual data content of each lead.

Abstract: Systems and methods for providing a document are described. In one described method, a document comprising a portion selected by a first member of a social network is hosted for the first member. The portion is dynamically updated with content. An audience criterion for the portion and a type of relationship between the first member and a second member of the social network are identified. If the type of relationship between the first member and the second member satisfies the audience criterion, the second member is provided access to at least the portion.

Abstract: Systems, methods, and computer-readable storage media are provided for automating personalized out-of-the-box and ongoing in-application settings. A triggering event is detected for an exchange of information between an information service and one or more application or service. A trust level and domain of information of the one or more application or service is determined. Based on the trust level and domain of information, information to be shared with the one or more application or service is identified and the identified information is shared. The information to be shared can be all of the requested information, some of the requested information, or none of the requested information.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A computer-implemented method includes: retrieving, by a computer device, data related to a person, the data being retrieved from sensors that collect the data; determining, by the computer device, an emotional state of the person based on the data; comparing, by the computer device, question information of a question to the emotional state; and determining, by the computer device, if a particular time is a preferred time to ask the user the question based on the results of the comparing.

Abstract: Systems, methods, and other embodiments associated with entity mapping. According to one embodiment, a method comprises generating trees based, at least in part, on data. The data is associated with dimensions. A tree includes nodes that are not defined by the dimensions of the data. The method further includes performing statistical tree analysis to calculate results for the trees. The statistical tree analysis is performed independent of the dimensions of the data. A table of a composite result set is created by unionizing the results for the at least two trees. The nodes of the trees are parsed based, at least in part, on the composite result set. The at least two trees can then be visually displayed.

Abstract: The present disclosure relates to analysis of content to determine an equity index of a brand by building a data record by procuring input data from at least one platform; enriching the data record to remove noise from the input data to obtain an enriched data record; classifying the enriched data record into at least one category of one or more categories to obtain a classified data record; determining a sentiment ratio for the classified data record; determining an engagement metrics for the brand; and determining the equity index for the brand based on the at least one category and the sentiment ratio, the sentiment ratio and one or more variables.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Embodiments of the present invention generally relate to systems and methods for psycho-physiological mood mapping. More specifically, the present invention relates to systems and methods for monitoring various parameters such as, but not limited to, facial muscle activity, heart rate changes, skin conductance changes, electrical charges across scalp, eye tracking, and behavior analysis and analyzing the data of such parameters via a 3D mood map. This data analysis may be used for many purposes including, without limitation, assessing the marketability of a product.

Abstract: A method to manage Internet of Things (IoT) devices is described. In one embodiment, the method includes detecting a presence of a first IoT device in a network associated with the computing device, managing access to the first IoT device based at least in part on authentication information associated with the first IoT device, identifying one or more updates associated with the first IoT device, and applying at least one update to the first IoT device based at least in part on identifying the one or more updates. In one embodiment, the method further includes analyzing a packet stream to determine one or more identifiers associated with the first IoT device, and identifying the first IoT device based at least in part on the one or more determined identifiers.

Abstract: Methods and systems for collecting feedback data. An application programming interface (API)-based survey feedback dashboard can be prepared for storing survey feedback data for an API-based survey, the API-based survey feedback dashboard capable of collecting survey feedback data comprising single choice feedback data, multi choice feedback data, or free form feedback data, or any combination thereof. A universally unique identifier (UUID) that links survey meta information and/or survey structural information with incoming survey feedback data can be generated, such that the UUID is available using the API. The survey feedback data can be collected using the API and the UUID.

Abstract: Examples relate to determining suggested offerings for users. The examples disclosed herein identify, a recent entity accessed by a user. The recent entity is matched with a trending topic, where the trending topic is determined by analyzing recent entities accessed by a plurality of users. A number of suggested offerings from the trending topic is calculated based on an importance score of the matched trending topic. At least one suggested offering for the trending topic is determined, based on the number of suggested offerings, from the recent entities accessed by the plurality of users. The at least one suggested offering is suggested to the user.

Abstract: An application sorting method and apparatus are provided. The method includes: obtaining, a positive operation probability and positive operation feedback information of each of at least two data samples; calculating an uncertainty parameter of a positive operation probability of a first data sample based on the positive operation probabilities and the positive operation feedback information of the at least two data samples and feature indication information of at least one same feature in a plurality of features in the at least two data samples; and correcting the positive operation probability of the first data sample by using the uncertainty parameter of the positive operation probability; and sorting, based on corrected positive operation probabilities, application programs corresponding to the at least two data samples.