Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: A control system determines whether a browser is retrieving supplemental content over a slow or faulty network using a tracking indicator. Based on determining that browser is retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser. The control system may modify responses by declining to bid, responding with a lower bid amount, or responding with alternate supplemental content. Based on determining that browser is no longer retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser by responding with a higher bid amount or responding with the original supplemental content. Thus, the control system maximizes the use of control system and campaign manager resources by responding to opportunities according to the likelihood that they will result in an impression or a conversion.

Abstract: An insight engine that takes into account a wide variety of information from a wide variety of sources for predicting a sales insight is generated. The insight engine is generated using machine learning. Historical customer-specific information, product-specific information, and environmental information are aggregated, based on customer, product, and/or time period, into historical customer profiles. The historical customer profiles are labeled with historical sales insights to form a training set. A machine learning algorithm is applied to the training set to generate an insight engine. The insight engine is applied to a target customer profile to determine a predicted sales insight for a target entity.

Abstract: Systems and methods for automated generation and presentation of thematic content objects to consumers in a retail environment are provided. A portable device may include a transmitter or transceiver that emits, produces or otherwise transmits a signal that includes information and/or data representative of an identifier that uniquely identifies the portable device. Upon entering an establishment thematic content delivery circuitry detects the presence of the portable device and obtains the identifier included in the signal emitted by the portable device. Using the identifier, the thematic content delivery circuitry determines a theme logically associated with the identifier. The thematic content delivery circuitry generates thematic content output that is logically associated with the theme and communicates the thematic content output to an output device. The thematic content output may include display output, audio output, tactile output, hardcopy output, or combinations thereof.

Abstract: Techniques for providing a seamless user experience across electronic and physical retail stores of a retailer include storing, locally with a session corresponding to a user's visit to the retailer's electronic store, indications of items that were viewed and/or focused on by the user at the electronic store. At least some of said indications may be transferred to a centralized data storage of the retailer for persistence after the session is terminated. Subsequently, an electronic device operated by the user may determine its location and determine, based on its location, a particular physical retail store of the retailer. Via communications with one or more retailer servers, items that were recently viewed by the user at the electronic store may be identified, and indications thereof may be presented on the display of the electronic device in conjunction with information corresponding to the recently viewed items at the particular physical store.

Abstract: A search query can be received. User parameters can be identified based on the search query. The search query can be refined to include the user parameters. A search result from a search for media content using the refined search query can be received. Based on at least one search result received from the search and based on the user parameters, an augmented media content can be generated. Playing of the augmented media content can be synchronized with a user's activity by controlling playing of the augmented media content while detecting the user's activity pace.

Abstract: A DNS server receives from a receiving email system, a DNS query for an email domain stored at the DNS server, the DNS query including identifying information of a sender of an email. The DNS server extracts the identifying information of the email sender from the DNS query and identifies one of a plurality of delivering organizations from the information. The DNS server determines whether the identified delivering organization is authorized to deliver email on behalf of the email domain. In response to determining that the identified delivering organization is authorized to deliver email on behalf of the email domain, the DNS server generates a target validation record based on the identity of the authorized delivering organization and the email domain, the target validation record including one or more rules indicating to the receiving email system whether the delivering organization is an authorized sender of email for the email domain.

Abstract: The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.

Abstract: A laundry data analysis apparatus based on artificial intelligence according to an embodiment of the present invention includes: a communication unit configured to receive an image including laundry data related to characteristics of laundry from an image acquisition device corresponding to a group including at least one member; and a processor configured to recognize the laundry data from the received image, acquire additional data related to the characteristics of the laundry on the basis of the recognized laundry data, store laundry information including the laundry data and the additional data into a database, and acquire member characteristic information of each of the at least one member from a plurality of laundry information corresponding to the group stored in the database.

Abstract: The present invention provides a novel approach for consumer-driven interaction with sequencing data or genomic information. Sequencing data access, for users with a variety of access and permissions, may be mediated by a central hub. The hub may also facilitate access to the sequencing data for third party software applications. The hub may also provide data analysis or may have access to analyzed data to use such data in providing a user interface for a genome owner or for non-owner secondary users of the system.

Abstract: A computing device including memory storing a quantum computing device model. The quantum computing device model may include a plurality of quantum computing device components having a respective plurality of actual boundaries. The computing device may further include a processor configured to generate a first discretized model of the quantum computing device model. The first discretized model may indicate a respective estimated boundary for each quantum computing device component. The processor may be further configured to solve a first differential equation discretized with the first discretized model. The processor may be further configured to generate a second discretized model of a focus region of the quantum computing device model. In the second discretized model, the focus region may have the estimated boundary computed for the focus region in the first discretized model. The processor may be further configured to solve a second differential equation discretized with the second discretized model.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Methods and devices for provisioning a secure application on an electronic device with first issuer data for a first issuer are described. In an embodiment, the provisioning system receives and stores first issuer records. The example provisioning system receives a provisioning request to provision the secure application with the first issuer data. The provisioning request includes identifying information. The example provisioning system evaluates the provisioning request based on at least one of the first issuer evaluation criteria, the first issuer records and the identifying information in the provisioning request. When the provisioning request satisfies the first issuer evaluation criteria, the example provisioning system generates a signal using the communication module to provide the first issuer data to the electronic device to provision the secure application on the electronic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, from a client device, an ad request for an ad space being for presentation in a user interface of an application on the client device, sending, to bidder systems, a bid request on the ad space, receiving bids from the bidder systems, selecting, from the received bids, a cost-per-view bid corresponding to a first creative and a cost-per-impression bid corresponding to a second creative, and sending a message to the client device wherein the message comprises respective identifiers of the first and second creatives, and wherein the client device is configured to obtain the first creative and present the first creative in the ad space if the ad space is in view one the client device within a specified time period.

Abstract: To select the content to be presented to the user, a first latent vector is determined for a content item based on a first object associated with the content item. A second latent vector is determined for the content item based on a second object associated with the content item. A content item vector is then determined based on the first and second latent vectors. Furthermore, a user vector is determined based on interactions of the user with the first set of content objects and the second set of content objects. A score indicative of the likelihood of the user interacting with the content item is determined based on the content item vector and the user vector.

Abstract: Systems, computer program products, and methods are described herein for dynamic resource allocation based on vehicle route selection. The present invention is configured to receive an origin and a destination for a user; determine travel routes for the user; determine resource distribution entities along the one or more travel routes; determine resources associated with the resource distribution entities; display the travel routes, the resource distribution entities along each of the travel routes, and the resources associated with each of the resource distribution entities; receive a user selection of at least one of the travel routes; and distribute the resources to the computing device of the user along the at least one of the one or more travel routes selected by the user.

Abstract: The disclosed is an event-triggered advertisement communication system for vehicles and vehicle dealerships. In some embodiments, an advertising communication system may be configured to provide an advertisement campaign to a user designed to respond to certain events the user experiences in real-time. In some embodiments, the inventory advertisement management system may be designed to: (1) track whether the device is located within a predetermined perimeter; (2) provide current inventory attribute status associated the device; and (3) send advertisement campaigns to the user depending on attribute and location perimeters.

Abstract: Systems and methods for user personalization and recommendation schemes that are matched to a user profile and provide a highly personalized, interactive experience for the user on an entertainment platform are disclosed. In one aspect of the invention, the highly personalized and interactive experience is facilitated through information from the user profile comprised of user-inputted information, historical data, and outputs from machine learning engines. In another aspect of the invention, the system is capable of outputting the highly-personalized and interactive recommendations onto a viewing screen while media content is continuously streaming on the same viewing screen.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: A rating interface system and method are provided that allow human users to continuously rate the impact they or other human users and/or their avatars are having on themselves or others during interpersonal interactions, such as conversations or group discussions. The system and method provide time stamping of users' ratings data and audio and video data of an interaction, and correlate the ratings data with the audio and video data at selected time intervals for subsequent analysis.

Abstract: Described herein are embodiments of a multi-platform integration system. A multi-platform integration system includes a computing system. The computing system hosts an application. The computing system configured to receive a first request from a user device to execute an instance of the application and transmit a graphical user interface (GUI) to the user device to be rendered on a display of the user device, receive a second request, via the GUI, from the user device to deploy a digital advertisement. The computing system is further configured to interface with each one of the platforms in the set of platforms and integrate the digital advertisement directly with each one of selected platforms.

Abstract: A method of sharing of network resources between at least two access gateways, each of the at least two access gateways providing network connectivity to user equipment, includes assessing whether a first access gateway can to share a portion of available network resources, assessing whether a second access gateway requires additional network resources to provide network connectivity to user equipment, and establishing a wireless connection between the first access gateway and the second access gateway. The first access gateway provides the portion of available network resource as additional network resources for the second access gateway.

Abstract: Aspects of the present disclosure generally relate to systems and methods for attributing online advertising campaigns to in-store purchases. In particular embodiments, the system is configured for: 1) receiving and optimizing advertising campaign information; 2) uploading the optimized advertising campaign information to an advertising platform; 3) capturing customer data based on pixel and cookie interaction, including data regarding the advertising campaign; 4) receiving customer identifying information; 5) matching the customer identifying information to the captured customer data; and 6) matching the customer identifying information to in-store purchases.

Abstract: In an approach, a processor receives a notification of entry into a store from smart contact lenses. The approach customer identification data at store entry to a program in the store server and receiving from smart contact lenses, a set of gaze data associated a customer looking at a locked product on a store shelf. The approach sending a request to unlock the product and the gaze data associated with the customer looking at the locked product to the program in the store server and receiving an indication that the locked product is unlocked. The approach includes receiving a customer identification upon the customer's store exit from smart contact lenses. The approach receiving from the program in the store server, a bill for the unlocked product.

Abstract: A system facilitating payment for fuel dispensing includes a fuel dispenser associated with a current-loop-to-ethernet converter for receiving serial data from a fuel dispenser controller and converting said serial data to an ethernet signal and a network appliance coupled the current-loop-to-ethernet converter by an ethernet port. A virtual payment facilitator is connected to the network appliance over a VPN and to a payment authorization entity, also over a VPN. A process performed by the system includes receiving a fueling request at the virtual payment facilitator from the payment authorization entity and converting that request into a command issued to the fuel dispenser to dispense fuel.

Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

Abstract: Embodiments of the present systems and methods may provide techniques for assigning deliveries to drivers and for routing those deliveries that that ensure delivery and encourage drivers to submit offers. For example, in an embodiment, a method for delivery routing may comprise receiving information relating to delivery drivers' offers to deliver a plurality of items to be delivered, generating hierarchical clusters of pickup locations of the plurality of items to be delivered, for each generated hierarchical cluster, generating a delivery route of a vehicle to deliver the items to be delivered for that cluster, generating new delivery routes from the generated delivery routes by breaking the generated delivery routes based on the delivery drivers' offers to deliver a plurality of items, and matching delivery drivers with deliveries of items to be delivered based on a plurality of criteria.

Abstract: The present invention provides a system and method for processing subscription related data, wherein a subscription document of an existing subscription is received by a server via a user device. The subscription document is processed to extract pre-determined parameters; and primary parameters are obtained from service provider servers and secondary parameters are obtained from third party servers. The pre-determined parameters are correlated with the primary parameters and the secondary parameters and a customized output is generated. The customized output may be a comparative analysis of particulars of the existing subscription and new subscriptions.

Abstract: One or more computing devices, systems, and/or methods are provided. A manifest associated with a first video may be generated. The manifest may include a first web address associated with accessing the first video, one or more first milestone markers of the first video, and/or one or more first beacon web addresses associated with the one or more first milestone markers. The manifest may be transmitted to a first client device. An indication addressed to a first beacon web address of the one or more first beacon web addresses may be received from the first client device. It may be determined, based upon the indication addressed to the first beacon web address, that the first client device displayed a first portion of the first video corresponding to a first milestone marker, of the one or more first milestone markers, associated with the first beacon web address.

Abstract: A control system determines whether a browser is retrieving supplemental content over a slow or faulty network using a tracking indicator. Based on determining that browser is retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser. The control system may modify responses by declining to bid, responding with a lower bid amount, or responding with alternate supplemental content. Based on determining that browser is no longer retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser by responding with a higher bid amount or responding with the original supplemental content. Thus, the control system maximizes the use of control system and campaign manager resources by responding to opportunities according to the likelihood that they will result in an impression or a conversion.

Abstract: Logic may detect a malfunctioning payment interface on a customer's payment instrument. Logic may receive transaction data about at least one transaction performed via a payment instrument associated with a customer. The transaction data may indicate a payment interface of the payment instrument through which the customer conducted the at least one transaction and the payment instrument may comprise one or more payment interfaces. Logic may determine, by a model, based on the transaction data, a probability of a malfunction by at least one interface of the one or more payment interfaces. The model may be trained based on a pattern of transactions associated with malfunctioning payment instruments. Logic may compare the probability of the transaction against a threshold. And logic may determine whether to contact a customer associated with the payment instrument, based comparison of the probability of the transaction against the threshold.

Abstract: Systems and techniques for centralized threat intelligence are described herein. A connection may be established to a plurality of threat data sources. An anonymized set of threat data may be obtained by application of a set of privacy rules to the threat data from the plurality of threat data. A threat database may be populated with the anonymized set of threat data. A registration request may be received for a user of a device. A unique user identifier may be assigned for the user and a unique device identifier may be assigned for the device. A threat model may be generated based on a set of the characteristics from the threat database. A set of data access attributes may be received for a data access request. The data access request may be blocked based on an evaluation of the data access attributes using the threat model.

Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.

Abstract: Various embodiments of systems and methods allow a distributed database to be maintained to store records of activities that may promote purchasing a product and determine whether such promotions should be rewarded. Using anonymous identifiers and a permission-based system, identities of users, products, content, content distribution systems, and marketplaces can be made available only to parties with rights to know such identities. Furthermore, systems can be put in place so that activities with a certain product, content item, etc. can be monitored without ever disclosing the identity of the product, content item, etc. In some embodiments, the database can be an immutable, append-only, distributed database such as a blockchain ledger.

Abstract: Examples of the systems and methods described herein relate to reducing latency issues associated with playing online digital video on client devices. An example method includes: determining that a client device of a user is displaying a web page; determining a likelihood that the user will select content on the web page associated with a digital video; and determining that the likelihood exceeds a threshold and, based thereon, performing at least one of the following steps before the user selects the content: initiating a mediation process to identify the digital video associated with the content; unwrapping a video tag associated with the digital video; storing at least a portion of the digital video on the client device; stitching the digital video together with a second digital video; and/or initializing a video player for displaying the digital video on the client device.

Abstract: Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to generate a game retention prediction model that predicts an indication of an expected duration of game play. The game retention prediction model may be applied to a user's activity data to determine an indication of the user's expected duration of game play. Based on the determined expected duration of game play, the difficulty level of the video game may be automatically adjusted.

Abstract: A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.

Abstract: Methods and systems for trend aware self-correcting entity relationship extraction are disclosed. For example, a method can include receiving a selected entity, determining a plurality of entities related to the selected entity, determining a plurality of most probable entities, calculating relevance scores, and displaying a subset of the plurality of most probable entities. The selected entity can be received on a network-based transaction system. The plurality of entities related to the selected entity can be determined based on a relationship score. The relationship score can represent navigation transitions, aggregated over time, between the selected entity and each of the plurality of entities. The plurality of most probable entities can be determined based on probabilities. Relevance scores can be calculated for each of the plurality of most probable entities. Finally, the subset of the plurality of most probable entities to be displayed can be determined according to the relevance scores.

Abstract: A method is disclosed for collecting data for evaluating the quality of experience of a service provided to a user over a communications network. The method comprises: providing an agent on a user device; by the agent, collecting rough measurement data indicative of parameters related to an operation of the device during an instance of service fruition, providing derived measurement data from the rough data and sending them to a server; at the server, determining an ending of the instance and checking, based on the derived data, forwarding conditions indicating at least one condition to be satisfied in order for the server to send a questionnaire to the user device, comprising questions related to the instance of service fruition; after the ending of the instance, in case the conditions are satisfied, sending the questionnaire from the server to the device; and collecting by the agent a user feedback.

Abstract: Described herein are systems and methods for allowing seamless switchover from one radio access provider to another while traveling. A carrier component, such as a widget, can be embedded in the website operated by a travel agency, and when a traveler makes a travel reservation, the carrier component can send travel information to servers operated by the radio access provider. The radio access provider may retrieve a customer profile associated with the traveler and configure the wireless communication device or the account services associated with the traveler to maintain uninterrupted voice and/or data coverage for the wireless device while traveling.

Abstract: A user's experience is enhanced with respect to location-based services (LBS) applications that can be employed by a user via a mobile device using techniques described herein. In an aspect, a device is provided that includes a memory to store instructions and a processor, coupled to the memory, that facilitates execution of the instructions to perform various operations. The operations can include determining a context of the device comprising determining a current location of the device, identifying an application of the device that enables a function related to the current location of the device, determining that the application is relevant to a user identity associated with the device based on the context of the device, adapting a set of graphical images for display by the device to comprise a graphical image associated with the application.

Abstract: In one embodiment, a computing device receives, from one or more cameras, a video stream comprising multiple frames, where the video stream is received at a first quality. The computing device analyzes, using a machine-learning model, images in the frames, where the machine-learning model has been trained to detect one or more objects-of-interest in the images. The computing device identifies a sequence-of-interest including consecutive frames of the video stream, where at least one object-of-interest was detected in at least one of the consecutive frames. The computing device generates a video package including the sequence-of-interest.

Abstract: Aspects of the invention include a computer-implemented method for generating product recommendations used a hypergraph. The computer-implemented method includes generating a product embedding vector for a product unpurchased by a consumer based on a hypergraph. Generating a consumer embedding vector for the consumer based on the hypergraph. An affinity between the consumer and a product unpurchased by the consumer is scored based on the product embedding vector and the consumer embedding vector. A digital description of the unpurchased product is retrieved based on the scoring. The digital description is presented to the consumer.

Abstract: A digital television including an interface to receive control signals from a remote controller; a screen; and a controller to execute an application related to a first icon within a menu when the controller receives a signal selecting the first icon within the menu from the remote controller, display a content of the executed application related to the first icon on the screen, enter into an edit mode of a second icon within the menu and display a first indicator for deleting the second icon as well as a second indicator for moving the second icon with displaying the content of the executed application related to the first icon in response to selecting an Up-key included in the remote controller, display a message verifying whether or not to delete the second icon from the menu in response to selecting an OK-key included in the remote controller after selecting the first indicator, delete the second icon from the menu and align other icons in a respective order in response to receiving a signal requesting fo

Abstract: [Problem to be solved] An object of the present invention is to provide a method for improving an advertising effect, particularly in a television commercial. [Solution] According to an embodiment of the present invention, the disclosed method is a method for providing an advertisement for a television program, which determines an advertisement-related product related to a product to be advertised, refers supply prediction information of the advertisement-related product, and determines the time for placing the TV program advertisement based on the supply prediction information.

Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining an audio signature corresponding to a time period of a multimedia asset, identifying a match between the obtained audio signature and one or more stored audio signatures, comparing programming data of the multimedia assets of the obtained audio signature and the matching audio signatures, and determining whether the time period of the multimedia asset contains an advertisement based on the comparison of the programming data of the multimedia assets of the obtained audio signature and the one or more matching audio signatures. Another method includes identifying matches between a plurality of obtained audio signatures and a plurality of stored audio signatures, and determining whether consecutive time periods of the multimedia asset contain an advertisement based on a number of consecutive matching audio signatures of the plurality of stored audio signatures.

Abstract: Messages are processed to generate effectiveness predictions and/or other insights associated with the messages. Candidate messages are processed through a natural language processing (NLP) component to parse the candidate message into message elements for further processing. The message elements are converted to a vector or set of vectors, which are provided as input to a machine learning model to make predictions of message effectiveness. A contribution score can be made for each message element of the candidate message, which may be indicative of the importance or relevance for the individual message element to the overall predicted message effectiveness. Other message elements not originally within the message can be provided as candidates to replace message elements already located within the message. In this way, a message that is likely to be effective, such being likely to have a high conversion rate, can be published or otherwise distributed.

Abstract: Provided are a short video synthesis method and apparatus, a device and a storage medium. The method includes: obtaining a video frame set corresponding to a to-be-processed video, where each video frame in the video frame set carries a timestamp; respectively inputting all video frames in the video frame set into an interest frame identification model to obtain a plurality of to-be-synthesized video frames, where the interest frame identification model is used for identifying a video frame meeting an interest degree condition in the input video frames; and splicing, according to the timestamp carried by the each to-be-synthesized video frame, the plurality of to-be-synthesized video frames to form a short video corresponding to the to-be-processed video.

Abstract: A device receives, from a transaction device, transaction data associated with a transaction performed by a user, and receives first location data indicating a location of a mobile user device. The device receives, from a stationary user device, browser data associated with online activity of the user, and determines, based on the browser data, second location data indicating a location of the stationary user device. The device determines, based on the transaction data, third location data indicating a location of the transaction device, and assigns weights and time stamps to the first, second, and third location data. The device aggregates the first, second, and third location data, based on the weights and the time stamps, to generate aggregated location data. The device processes the aggregated location data, with a model, to predict a particular location of the user, and performs actions based on the particular location.

Abstract: A system for processing a digital promotion may include a cloud server. The cloud server may be configured to operate a messenger bot associated with a digital advertisement for a given product on a mobile wireless communications device associated with a given user, collect information from the messenger bot, and determine whether a potential redemption location is within a given area associated with the mobile wireless communications device. When the potential redemption location is within the given area, the cloud server may communicate a first digital promotion for the given product through the messenger bot to the mobile wireless communications device based upon the collected information. When the potential redemption location is outside the given area, the cloud server may communicate a second digital promotion through the messenger bot to the mobile wireless communications device based upon the collected information.