Abstract: Method and system for managing user profile information across plurality of locations in real time Embodiments herein disclose a system and method for managing user profile information across a plurality of locations in real time. The method includes receiving, by a central server, usage information of a tag associated with a user and determining, by the central server, a zone associated with the user based on the usage information of the tag, where the zone indicates a plurality of locations associated with user. Further, the method includes automatically replicating, by the central server, a user profile information of the user and a tag data of the user into a local database of each of the locations indicated in the determined zone associated with the user.

Abstract: A system and method are disclosed for augmented visualization of a planogram of one or more supply chain entities. Embodiments include creating a planogram comprising one or more products, the products associated with a location, and retrieving an image of the planogram and one or more customer segments. Embodiments further include mapping one or more coordinates in an image of a planogram that correspond to the one or more customer segments and rendering an augmented visualization comprising altering the image of a planogram at one or more coordinates to illustrate the one or more customer segments.

Abstract: Certain embodiments involve tracking incremental updates to graph data structures and thereby facilitating efficient data retrieval. For instance, a computing system services a first query for one or more segments of computing devices, online entities, or both. The computing system services the first query by searching of a set of nodes from a graph data structure. The computing system receives a second query after the graph data structure has been modified. The computing system identifies, from a change list for tracking changes to the graph data structure, a subset of the nodes impacted by the modification to the graph data structure. The computing system services the second query by searching the subset of impacted nodes in the graph data structure.

Abstract: This application relates to apparatus and methods for automatically determining and providing digital advertisements to targeted users. In some examples, a computing device receives campaign data identifying items to advertise on a website, and generates campaign user data identifying a user that has engaged all of the items on the website. The computing device may then determine a portion of the users based on a relationship between each user and the campaign user data, and may determine user-item values for each of the items for each user of the portion of users, where each user-item value identifies a relational value between the corresponding user and item. The computing device may then identify one or more of the items to advertise to each user of the portion of users based on the user-item values, and may transmit to a web server an indication of the items to advertise for each user.

Abstract: Improved workflow processes for efficiently progressing through a credit union membership application using a user interface having a specially structured layout to facilitate the progression are disclosed. Initially, the user interface presents a membership account selection option to select which type of membership account to initiate. Based on the selected type of membership account, the user interface then displays a product selection option for selecting a specific type of product to initiate with the credit union. The user interface then displays an applicant information option structured to receive information about an applicant. Based on this information, there is a determination as to whether the applicant qualifies for membership. Additionally, the layout of the user interface is specifically required to have a number of features, which are designed to facilitate the application workflow.

Abstract: Annotations are customized for a tenant-specific search within a public corpus. In a non-limiting embodiment of the invention, a cartridge file is received by a semantic search application. The cartridge file includes a new attribute definition that is not available in an index of the semantic search application. The new attribute definition is incorporated within the index based on an approximation of one or more existing attributes in the index. One or more documents are retrieved from the public corpus based on a concept search using the incorporated new attribute definition and the one or more documents are annotated based on the incorporated new attribute definition. The annotated one or more documents are stored in a tenant-specific dataset separate from the public corpus.

Abstract: A system and method for generating a ledger is disclosed herein. A computing system receives, from one or more third party vendors, a plurality of transactions associated with a user. The computing system parses the plurality of transactions to identify one or more parameters associated with each transaction of the plurality of transactions. The computing system groups the one or more transactions into one or more clusters based on the identified one or more parameters. The computing system associates a life event to each cluster of the one or more clusters. The computing system interfaces with a client device associated with the user to confirm an associated life event. Upon receiving a confirmation from the user regarding the associated life event, the computing system generates a ledger. The ledger includes the life event and the one or more transactions associated therewith.

Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.

Abstract: A computer-based content delivery method includes receiving from a first user a request for content; based on said request, delivering particular content to said first user, wherein said particular content was selected based on information associated with a second user distinct from said first user. The first second users are members of a similarity group, and the second user is a leader of said group and said first user is a follower in said group.

Abstract: Examples described herein involve switching between two user accounts of a streaming media service. In an example implementation, a playback device stores data representing credentials for multiple user accounts including a first user account of a first streaming audio service and a second user account of the first streaming audio service. The playback device receives instructions to play first audio content from the first streaming audio service and plays back the first audio content by streaming data representing the first audio content from one or more servers of the first streaming audio service using credentials of the first user account. The playback device detects a trigger associated with the first user account of the first streaming audio service and switches from streaming data representing the first audio content using credentials of the first user account to streaming data representing the first audio content using credentials of the second user account.

Abstract: A system and method for mobile device verification for an electronic application before providing a digital pass to an approved customer is disclosed. The method and system receives, at a store's customer credit application computer, an application for a new account, the application including a contact information for a customer's mobile device providing, from the store's customer credit application computer, the contact information for the customer's mobile device to a verification system to authenticate the customer's mobile device providing, from a credit account provider, a text to the customer's mobile device, the text causing the customer's mobile device to be subjected to a second authentication; receiving, at the customer's mobile device, a message that includes a link to the digital pass; and utilizing the link to receive the digital pass at a mobile wallet of the customer's mobile device.

Abstract: Aspects of the present invention disclose a method for managing aggregated comments of a forwarded media based on the sentiments of the forwarded media and relevance to a user. The method includes one or more processors identifying a user based at least in part on information provided by the user. The method further includes accessing user activity data utilizing the information provided by the user. The method further includes generating a first profile corresponding to the user based at least in part on the user activity data. The method further includes determining one or more preferences of the user based at least in part on the generated first profile. The method further includes identifying segments of textual data of forwarded media the user receives based at least in part on the preferences of the user, wherein the textual data corresponds to a comment associated with the forwarded media.

Abstract: A vehicle is configured to image, with an outside camera, an identification mark associated with a content provided by a service provider, output the content associated with the imaged identification mark to an occupant in a cabin of the vehicle, acquire operation information on the occupant relating to the output content, and acquire information regarding the occupant when the occupant performs operation relating to the content in the vehicle cabin. An information processing apparatus is configured to, when determining that the output content is not selected by the occupant based on the operation information on the occupant, determine whether or not to update the content that is not selected, based on the information regarding the occupant.

Abstract: Training and/or utilizing a machine learning model to generate request agnostic predicted interaction scores for electronic communications, and to utilization of request agnostic predicted interaction scores in determining whether, and/or how, to provide corresponding electronic communications to a client device in response to a request. A request agnostic predicted interaction score for an electronic communication provides an indication of quality of the communication, and is generated independent of corresponding request(s) for which it is utilized. In many implementations, a request agnostic predicted interaction score for an electronic communication is generated “offline” relative to corresponding request(s) for which it is utilized, and is pre-indexed with (or otherwise assigned to) the electronic communication. This enables fast and efficient retrieval, and utilization, of the request agnostic interaction score by computing device(s), when the electronic communication is responsive to a request.

Abstract: Embodiments of the invention include a system for automated persona feature selection. Soft clusters of entities are received, each entity having a history of features. Each feature has a general prevalence coefficient representing prevalence of entities having the respective feature in their history. A feature list is generated for each cluster, each feature having an in-cluster coefficient representing prevalence of entities in the cluster having the feature in their history. Features having an in-cluster coefficient that is different from that feature's general prevalence coefficient are selected. A variance across the clusters is determined for each selected feature. A discriminating feature list having high variance features is generated for each cluster. Clusters are selected for an entity by comparing the features of the entity's history to features of the discriminating feature lists of the clusters. Content is customized according to the chosen clusters and sent to the entity.

Abstract: A cryptographically enforced data exchange is disclosed that enables an exchange of customer travel records between a plurality of travel providers while preserving customer privacy. The disclosed system receives customer travel data from publishers, and communicates a portion of the customer travel data to one or more subscribers in response to determining a customer match, without disclosing any protected data elements between the publisher and the subscriber.

Abstract: A marketing analytics pipeline includes an opportunity detection analytics hub and a marketing platform, wherein the opportunity detection analytics hub is configured to use trend data reports from a consumption database to fit statistical models based on streaming consumption and interaction patterns of social media UGC (user generated content) and to send growth and re-engagement opportunities to a marketing action analytics hub, and wherein the marketing platform is configured to interact with the marketing action analytics hub to create targeted marketing campaigns based around high growth potential audiences.

Abstract: Described is a system (and method) that provides the ability to create an endpoint to allow cloud-based components to access services directly using network infrastructure of a cloud system. To provide such an ability, access connections from components of a production system to the cloud system may be monitored to derive a storage service and a datastore based on portions of a domain name. The derived storage service and datastore are then used to determine configuration settings required to automatically create a service endpoint. The service endpoint may then be deployed within the cloud system allowing the cloud-based component to access the storage service directly. Accordingly, the system provides the ability to automatically configure and deploy service endpoints by leveraging information derived from monitoring network access connections between a production environment and a cloud environment.

Abstract: A system and method for identifying prospects with a buying intent and connecting them with relevant businesses. An example method may comprise obtaining a training dataset; applying a first scoring algorithm to obtain a first score for each entry in the training dataset; receiving one or more scores from a user for one or more entries in the training dataset; rescoring the training dataset based on the one or more scores received from the user; creating a deep learning model based on the rescored dataset; obtaining digital media posts comprising data from one or more digital media platforms; scoring each received digital media post by using the deep learning model; providing certain scored digital media posts to the user; receiving a second score from the user; and updating the deep learning model based on the second score.

Abstract: An information processing device has a communication unit and a control unit. The communication unit exchanges information with a terminal device. The control unit controls the communication unit in such a manner as to transmit, to the terminal device, an advertisement associated with a composition category to which a composition of occupants in the moving object based on occupant composition information belongs, when receiving the occupant composition information from the terminal device. The occupant composition information regards the composition of the occupants in the moving object.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may receive digital data associated with digital media communications. In certain aspects, the digital data may include textual data from the digital media communications. The apparatus may input the textual data into a natural language processing (NLP) model. The apparatus may obtain a life event indication as an output of the NLP model. In certain aspects, the life event indication may include a classification tag and intent information associated with an item. The apparatus may determine whether the intent information meets a likelihood threshold. The apparatus may output, to an external device, the digital data and the life event indication upon determining that the intent information meets a likelihood threshold.

Abstract: In an answer view, a first video segment is selected based on a first natural language input and displayed in a main display region, and a self-video image of a user is displayed in a peripheral display region having a smaller area than the main display region. To transition from the answer view to a question view, the self-video image is enlarged to replace the first video segment in the main display region. A second natural language input is received. To transition from the question view to the answer view, the self-video image is reduced to occupy the peripheral display region and the self-video image is replaced in the main display region with a second video segment selected based on the second natural language input. The video segments are pre-recorded video response segments spoken by the same person. Enlarging the self-video image masks the transition between the video segments.

Abstract: Systems and methods are provided for determining release weights for geographic locations and specific times for selected users, and optimizing the timing of message notifications for a mobile device based on those release weights. The release weights may be determined based 1) generalized factors, 2) factors individualized for a particular mobile device user, and/or 3) real-time factors. These release weights are calculated to represent a user's likeliness to launch a client application from a message notification at a given time and geographic location.

Abstract: Methods, systems, and media for indicating viewership of a video are provided. In some embodiments, the method comprises: identifying a video; identifying a first group of users; determining an affinity score for each user with the identified video; receiving a request to present a page that includes a representation of the video; identifying a second group of users connected to the first user associated with the user device; determining a viewership status of each user in the second group of users corresponding to the video; identifying a subset of users in the second group of users based at least in part on the viewership status; and causing groups of indicators to be presented on the user device, wherein each indicator in the groups of indicators represents the viewership status of the user, and wherein the indicators are presented on the requested page in connection with the representation of the video.

Abstract: Systems and methods are presented for carrying out a task to an expanded group of users on behalf of a third party. In operation, an online service receives task information corresponding to a task from a third party. Additionally, the online service receives a seed group of users from the third party. The online service determines an intersection between the seed group of users and the online service's corpus of users. This intersection of users is then used to identify an expanded set of users of the online service's corpus of users. The online service then carries out the task on behalf of the third party, targeting the expanded set of users.

Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

Abstract: Embodiments can provide a method for identifying a behavioral pattern from simulated transaction data, the method including: simulating transaction data using a reinforcement learning model; and identifying a behavioral pattern from the simulated transaction data. The step of simulating transaction data further includes: providing standard customer transaction data representing a group of customers having similar transaction characteristics as a goal; and performing a plurality of iterations to simulate the standard customer transaction data, wherein the plurality of iterations is performed until a degree of similarity of simulated customer transaction data relative to the standard customer transaction data is higher than a first predefined threshold.

Abstract: In one embodiment, a character engine models a character that interacts with users. The character engine receives user input data from a user device, and analyzes the user input data to determine a user intent and an assessment domain. Subsequently, the character engine selects inference algorithm(s) that include machine learning capabilities based on the intent and the assessment domain. The character engine computes a response to the user input data based on the selected inference algorithm(s) and a set of personality characteristics that are associated with the character. Finally, the character engine causes the user device to output the response to the user. In this fashion, the character engine includes sensing functionality, thinking and learning functionality, and expressing functionality.

Abstract: An organizational risk management service includes a risk assessment and mitigation platform for evaluating organizational risk. The service includes interfaces for managing connections with organizational and external systems for intake of messaging that provides information which is analyzed to define risks faced by an organization. This risk is defined by analyzing this messaging and its metadata with a system manager, a rules engine, and a message manager. The service and platform models responses to address the risks faced by the organization, and generates event relays that comprise communications, alerts, notifications, instructions, and other information for registered users, and external systems that enable actions for addressing and mitigating the risk and compliance with organizational policies and procedures.

Abstract: The disclosed embodiments relate generally to efficient data encoding and transmission. An encoding system determines an encoding interval at which to encode different groups of related data in a data structure. The encoding interval for each group encoded together optimizes the amount of newly received information that is encoded and transmitted in a continuous, repeating loop.

Abstract: A method and computer-readable medium for carrying out a promotional campaign, comprising: identifying at least one influencer of at least one target of the promotional campaign; identifying at least one indicator of association between the influencer and a brand associated with the promotional campaign; and releasing towards the target a data element derived from the indicator of association.

Abstract: An electronic device is provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain a request of a user which is input for a provider, and provide a result obtained by transmitting to the provider at least one simulated request of at least one simulated user corresponding to the request.

Abstract: A system and method for managing and monitoring video stream content. The method including: receiving a traffic flow; determining if the traffic flow is a video streaming traffic flow; if the traffic flow is a video streaming traffic flow; determine at least one attribute associated with the video streaming traffic flow; determine a probability that the traffic flow is fraudulent based on a heuristic analysis of the at least one associated attribute; if the probability is above a predetermined threshold, flag the traffic flow as a fraudulent video streaming traffic flow, otherwise allow the traffic flow to proceed to its destination without being flagged; if the traffic flow is not a video streaming traffic flow, allow the traffic flow to proceed to its destination.

Abstract: A content origination server may generate content having a stored content identifier associated therewith, and a content display server may display the content. A deep-link server may obtain the stored content identifier and generate an authorization token based upon the stored content identifier. The content origination server may generate a deep-link to the content. The deep-link may have associated therewith the stored content identifier and the authorization token. The content display server may communicate a request including a content identifier and a link authorization token, to the server. The deep-link server may determine whether the obtained link authorization token is valid based upon the generated authorization token and whether the identifiers match, and when so, cause the content display server to modify a layout of content otherwise, cause the content display server to display the content without modification to the layout of content.

Abstract: A computer-implemented method for smart appliance product segmentation and communication, including: generating, with at least one processor, a plurality of product interest codes; assigning, with at least one processor, at least one product interest code of the plurality of product interest codes to each of a plurality of products of at least one merchant; based at least partially on a profile of a smart appliance user, associating, with at least one processor, at least one product interest code of the plurality of product interest codes with an interaction between the smart appliance user and at least one smart appliance; matching, with at least one processor, that at least one product interest code of at least one product with the at least one product interest code associated with the interaction; and automatically generating and transmitting, with at least one processor, at least one communication to the smart appliance user.

Abstract: In one embodiment, a character engine models a character that interacts with users. The character engine receives user input data from a user device, and analyzes the user input data to determine a user intent and an assessment domain. Subsequently, the character engine selects inference algorithm(s) that include machine learning capabilities based on the intent and the assessment domain. The character engine computes a response to the user input data based on the selected inference algorithm(s) and a set of personality characteristics that are associated with the character. Finally, the character engine causes the user device to output the response to the user. In this fashion, the character engine includes sensing functionality, thinking and learning functionality, and expressing functionality.

Abstract: Systems and methods are provided for supplying a video advertisement to a web page or application. A main ad server provides an ecosystem to network ad servers from different ad networks. The main ad server can collect and store information about each of the demand tags associated with each of the network ad servers in a database. The main ad server can then review the database in response to an ad call from a publisher to generate an ordered list of the demand tags that correspond to the ad call. The main ad server can then determine if any of the demand tags in the ordered list has a corresponding video header bidding tag and initiate an auction process for all of the demand tags in the ordered list that have a video header bidding tag. The ordered list of demand tags can then be updated based on the results of the auction process.

Abstract: A method and apparatus for executing a distributed computing task are provided. The method can include: parsing an expression of the distributed computing task to obtain an operator keyword; and executing, by using an operator corresponding to the operator keyword, the distributed computing task based on an input parameter of the operator, the input parameter of the operator including at least one of: a distributed stored distributed dataset including at least one data element, a distributed stored distributed key-value pair set including at least one key-value pair, and a value of the key-value pair in the distributed key-value pair set being a distributed dataset or a distributed key-value pair set.

Abstract: The present disclosure provides a blocked information displaying method and system for use in an autonomous vehicle. The method comprises obtaining information about a road ahead the autonomous vehicle and information about a rear vehicle; determining road information blocked by the autonomous vehicle, according to a positional relationship between the autonomous vehicle and the rear vehicle; displaying the road information blocked by the autonomous vehicle to the rear vehicle. The present disclosure is used to solve problems in the prior art that the autonomous vehicle blocks road surface information and causes limitation to the field of vision of the rear vehicle, and that real-time display of the images of the road ahead the autonomous vehicle is prone to cause confusion, and can effectively improve the safety of the travel of the rear vehicle.

Abstract: A query response method includes: dividing image frames, audio data and caption data included in video data of a data set on a per-shot basis based on the same single caption; extracting a shot feature vector by calculating the feature vectors of image frames, audio data and caption data included in each shot; extracting feature vectors of query data and a plurality of pieces of option data corresponding to the query data from each query-response pair included in the data set; calculating a video feature vector by inputting the shot feature vectors into a multilayer neural network, assigning an attention weight, calculated based on the feature vector of the query data, to output vectors of respective layers, and then summing the weighted output vectors; and selecting a final response from among the plurality of pieces of option data based on similarities between the video feature vector and option feature vectors.

Abstract: Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.

Abstract: Embodiments of the present invention provide method, system and computer program product for complimentary CRM mobile integration. In an embodiment of the invention, a method for CRM mobile integration includes initially identifying an end user who simultaneously accesses both a CRM application executing in memory of a host computing platform, and also a CRM application agent executing in memory of a mobile computing device that is separate from the host computing platform. The method also includes, thereafter, detecting a request by the end user to access data in the CRM application. Finally, the method includes responding to the detection of the request by selecting an action for the mobile device in a table corresponding to a type of the data in the CRM application, and directing the CRM application in the mobile device to prompt the end user to complete the selected action for the data of the request.

Abstract: Systems, devices, media, instructions, and methods are provided for presentation of media collections with automated interactive advertising. In one embodiment, a client device receives content elements for display as part of a content collection. Advertising data is also received for display between selected content elements. Interaction elements are merged with the create an advertising element. During display of the advertising data, the interaction elements are presented on the client device output, and are controllable via user inputs. In various embodiments, interaction data recorded at the device is used to manage the presentation of future advertising data.

Abstract: A damage assessment (DA) computing device for determining building damage may be provided. The DA computing device may retrieve historical damage data associated with roof damage from a historical damage database, generate a damage model based upon the retrieved historical damage data, identify an building for a roof damage assessment, retrieve damage data associated with the building, compare the damage data associated with the roof to the damage model, and/or determine a damage status of the roof based upon the comparison.

Abstract: Systems, devices, media, instructions, and methods are provided for presentation of media collections with automated interactive advertising. In one embodiment, a server system merges advertising data with interaction elements to create an advertising element, and communicates the advertising element to a client device with other pieces of content. In another embodiment, advertising data is received at a client device and merged at the client device with interaction elements to generate an advertising element. The advertising element is then displayed between content elements that are part of one or more content collections. In various embodiments, interaction data recorded at the device is used to manage the presentation of future advertising elements.

Abstract: In a computer apparatus, at least processor is arranged to determine values for two or more candidate advertisements. Based on the determined values, one of the candidate advertisements is selected. The selected advertisement is displayed on a user interface.

Abstract: A source worker node at a source site fetches a task from a message queue. The task specifies replicating a first object at the source site to a destination site. A request for a connection is issued from the source worker node to the destination site. The request is received by a load balancer at the destination site and assigned to a destination worker node. A connection is established between the source and destination worker nodes. A determination is made that the destination site does not include an object that is the same as the first object. Upon the determination, a deduplication is performed between the source and destination worker nodes of segments into which the first object has been divided. Deduplicated segments of the first object are transmitted from the source worker node to the destination worker node for storage at the destination site.

Abstract: Systems, methods, and computer program products to transmit, by a web browser to a web server, a hypertext transfer protocol request for a web page at a first uniform resource identifier (URI). The web browser may receive, from the web server via, the web page and metadata of a plurality of candidate advertisements, the plurality of candidate advertisements determined based on a master machine learning (ML) model. A client ML model executing in the web browser may process the received metadata, the client ML model trained based on prior interactions between one or more users of the web browser and a plurality of previously displayed advertisements. The client ML model may determine based on the processing, a first candidate advertisement of the plurality of candidate advertisements to display in the web browser with the received web page.

Abstract: A feature vector associated with a candidate web document is determined. A feature space associated with the feature vector is filtered. A density value associated with the candidate web document is determined using the filtered feature space. The candidate web document is ranked with respect to a plurality of other candidate web documents based on the determined density value. The candidate web document is provided in a content feed based on the ranking.

Abstract: A method and system for conducting an online payment transaction through a point of sale device. The method includes receiving input from a user selecting an item for purchase through the point of sale device; calculating a total purchase amount for the item in response to a request from the user to purchase the item; and sending payment authorization for the total purchase amount from the point of sale device to a payment entity, in which the payment authorization is sent to the payment entity via a mobile communication device of the user. The method further includes receiving a result of the payment authorization from the payment entity through the mobile communication device; and completing the payment transaction based on the result of the payment authorization.