Abstract: A network server includes a webpage provider, a user monitor, and a content selector. The webpage provider is configured to provide to a user terminal a webpage including a first region and a second region arranged in a first direction in response to a request from the user terminal. The first region includes pieces of first content arranged in a second direction crossing the first direction, and the second region includes pieces of second content arranged in the second direction. The user monitor is configured to detect an action of the user terminal for the pieces of first content. The content selector is configured to search for pieces of third content related to the content for which the action of the user terminal is detected among the pieces of first content in a database, and to include the pieces of third content in the second region.

Abstract: A problem context is computed from an input at an application. The problem context includes a set of problem factors, the input including a problem to be solved using a cognitive system. A user context is computed from the input at the application, the user context including a set of user factors. A type of media is determined corresponding to a complexity of a cognitive solution received from the cognitive system, where the cognitive solution is in response to the problem. Using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication is determined. A communication apparatus is adjusted to cause a data communication to occur and deliver the cognitive solution in the type of media using the mode of communication.

Abstract: A method and a system for ranking search results in response to a current query comprising: receiving an indication of the current query from an electronic device, generating a set of search result relevant to the current search query, retrieving a plurality of past queries, computing a respective similarity parameter between the current query and a respective one of the plurality of past queries, ranking the set of current documents to obtain a ranked set of documents, the ranking being done by a machine learning algorithm (MLA) taking into account inclusion of search terms of at least one past query of the plurality of past queries in a given one of the set of current documents so that inclusion of search terms promotes rank of the given current document, and transmitting a search engine results page (SERP) including the ranked set of documents to the electronic device.

Abstract: A problem context is computed from an input at an application. The problem context includes a set of problem factors, the input including a problem to be solved using a cognitive system. A user context is computed from the input at the application, the user context including a set of user factors. A type of media is determined corresponding to a complexity of a cognitive solution received from the cognitive system, where the cognitive solution is in response to the problem. Using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication is determined. A communication apparatus is adjusted to cause a data communication to occur and deliver the cognitive solution in the type of media using the mode of communication.

Abstract: Machine-learning based multi-step engagement strategy generation and visualization is described. Rather than rely heavily on human involvement to create delivery strategies, the described learning-based engagement system generates multi-step engagement strategies by leveraging machine-learning models trained using data describing historical user interactions with content delivered in connection with historical campaigns. Initially, the learning-based engagement system obtains data describing an entry condition and an exit condition for a campaign. Based on the entry and exit condition, the learning-based engagement system utilizes the machine-learning models to generate a multi-step engagement strategy, which describes a sequence of content deliveries that are to be served to a particular client device user (or segment of client device users).

Abstract: A method, an electronic device, and computer readable medium is provided. The method includes identifying a set of observable features associated with one or more users. The method also includes generating latent features from the set of observable features. The method additionally includes sorting the latent features into one or more clusters. Each of the one or more clusters represents verbal utterances of a group of users that share a portion of the latent features. The method further includes generating a language model that corresponds to a specific cluster of the one or more clusters. The language model represents a probability ranking of the verbal utterances that are associated with the group of users of the specific cluster.

Abstract: The present disclosure provides methods, computer-readable media, and devices for making content recommendations in a manner that protects private user data. In one example, a method includes collecting content consumption history data for a specific user of a telecommunications network, inserting random noise into the content consumption history data to produce anonymized data, sending the anonymized data over a network to a centralized device, receiving correlation data from the centralized device, wherein the correlation data indicates correlations among a plurality of items of content that is available for consumption via the telecommunications network, and predicting a likelihood that the specific user would be interested in a particular item of the plurality of items of content, wherein the predicting is based on the content consumption history data and on the correlation data. The steps may be carried out by a processor of a user endpoint device.

Abstract: An agent application executing on a client device retrieves an execute command from a command queue managed by a server and retrieves certificates and configuration settings for establishing a virtual private network (VPN) connection. An enrollment application resident on the client device executes in response to the execute command to modify a network setting of a network interface card (NIC) of the client device and establish a VPN connection with a domain controller located within the corporate domain using the certificate and configuration settings. The enrollment application further transmits a request over the VPN connection to the domain controller to join the corporate domain, wherein a corporate account in a directory service is established for the client device; reverts back to the prior network setting of the NIC and terminates the VPN connection and reboots the client device.

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: The present disclosure relates to managing augmented reality content created on a first electronic device and viewed at a second electronic device. In some embodiments, the first electronic device determines its physical location, receives input representing user-generated augmented reality content, displays an augmented reality environment including the user-generated augmented reality content overlaid on a live view of the physical location, and sends the user-generated augmented reality content to an external storage repository. The second electronic device can then receive the user-generated augmented reality content, determine whether it is at the physical location, and display the user-generated augmented reality content when it is at the physical location.

Abstract: An online system selects for display content items having an option to allow a user to converse with a content provider over an electronic communication system in a way that optimizes for the occurrence of that communication. Content items provided by the online system include links to an online communication system from which the online system can directly observe whether the user engaged in communications with third parties. The online system can thus obtain labeled training data describing communications between users and users' previous interactions with content items and pages of the online system. The trained model is applied to candidate content items to predict a probability that a user will engage in a communication with the content provider if the content is provided to the user, and the model optimizes the selection of content items for which the call to action is to engage in the communication.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of information presentation rules, and receive a user interaction with a social network content post. User interaction information is displayed on a user interface for a current user based on the user interaction and the set of information presentation rules.

Abstract: In an implementation, guiding a service flow is described. Historical behavior data of one or more users who use a target service is obtained for the target service. The historical behavior data is analyzed to obtain one or more user features. One or more target users are selected from one or more users who do not use the target service based on the one or more user features. Each target user has at least one of the one or more user features. Service flow guiding information is sent to each target user. The service flow guiding information guides each target user to use the target service.

Abstract: A navigation system may be provided. The navigation system may obtain an image comprising displayable content. The navigation system may receive a trigger instruction to plan a route based on the image. The navigation system may recognize, by an image recognition system, in response to receipt of the trigger instruction, feature content included in the displayable content. The feature content may be indicative of a target geographic location. The system may generate, in response to recognition of the feature content, at least one route from a current geographic location of a terminal to the target geographic location.

Abstract: Methods and apparatuses that generate a subtopic identifier identifying a client application within a client device that can support multiple users are described. The client application may be associated with a server application hosted in one or more application servers. Notification services may be registered with the application servers from the client application to forward identifiers associated with the client application for one of the multiple users to the server application to enable the server application to push notification messages to the client device selectively for the client application for that user. When receiving a notification message from the application server, the notification message may be examined to forward the notification message directly to the client application for that user without invoking other applications in the client device if the notification message carries a subtopic identifier of the client application.

Abstract: Techniques for leveraging existing statistical prediction models are provided. A first statistical prediction model is generated for a content item. An instruction is received to create a clone from the content item. In response to receiving the instruction, the clone is created based on attributes of the content item. A second statistical prediction model that is different than the first statistical prediction model is generated for the clone. In response to receiving a request for content, the clone is identified as relevant to the first request. A similarity between (1) first content of the content item and (2) second content of the clone is determined. If the similarity exceeds a similarity threshold, then the first statistical prediction model is used to generate a prediction of an entity user selection rate associated with the clone. Otherwise, the second statistical prediction model is used to generate the prediction.

Abstract: Systems and method are disclosed for providing advertisements to users by determining the occurrence of user defined external triggering events comprising a moment. One method comprises defining a set of conditions or criteria that define a moment, collecting data associated with said set of conditions or criteria, evaluating whether the conditions or criteria are satisfied and whether the user defined moment has occurred, executing an advertisement campaign associated with said user defined moment, transmitting an advertisement associated with said user defined moment to a target user, and modifying said advertisement in accordance with changes in the data associated with the conditions or criteria.

Abstract: Various aspects of a system and a method to provide recommendation on an electronic device based on emotional state detection of a user, are disclosed herein. In accordance with an embodiment, the system includes the electronic device, which is configured to detect a transition in an emotional state of a user associated with the electronic device from a first emotional state to a second emotional state. A tagged content item associated with the second emotional state of the user is retrieved from a network device based on identity information of the user and the detected transition. An application is launched on the electronic device to recommend a product or a service related to the retrieved tagged content item. The application is launched in response to the detected transition in the emotional state of the user and a current location of the electronic device.

Abstract: Disclosed are various embodiments of systems and methods for dynamically generating and providing personalized recommendations of newer products or services potentially of interest to a particular user who has previously purchased a similar product or service. Historical purchase data or other information indicating the user's preferences is analyzed to determine personal preference data. Candidate content is identified based on attributes found in the preference data. Similarity strategies and criteria can be used to test features and qualities in candidate content. Recommended product or service content comes in the form of candidate content which reaches a similarity threshold or otherwise achieves a sufficient confidence score based at least in part on a similarity metric is determined.

Abstract: The use of user-behavior-based adaptive authentication may provide more secure user authentication without sacrificing user convenience. A baseline behavior pattern of a user may be identified using a machine learning algorithm based on user behavior data collected by one or more applications on at least one user device of the particular user for a predetermined time period. One or more events that deviate from the baseline behavior pattern of the user during a specific time period are then detected using the machine learning algorithm based on new user behavior data of the user obtained during the specific time period. In response to receiving a request from an application to authenticate a particular user for access or continued access to a resource, an authentication question and a correct answer for the authentication question are generated based on a detail of an event that deviates from the baseline behavior pattern.

Abstract: A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options to some users while concurrently testing user responses to other user experience options, among a variety of user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment. The method and system determines bias weights from characteristics of the analytics model and uses the bias weights to compensate for data biases when updating or generating analytics models.

Abstract: An information processing apparatus discloses herein includes an acquiring unit and an estimating unit. The acquiring unit acquires a plurality of pieces of identity information including a keyword based on an operation performed by a user. The estimating unit estimates an age group of the user based on the plurality of pieces of identity information acquired by the acquiring unit.

Abstract: Devices, methods, and storage media provide for identifying, by an ad insertion device, at least one prospect for inserting a selected ad via a set of hidden channels during a target programming timeslot based on ad schedules for a plurality of networks; determining based on hidden channel usage data for a programming timeslot corresponding to the target programming timeslot, that a likelihood of availability of at least one hidden channel of the set of hidden channels during the target programming timeslot exceeds a first threshold level; and sending an instruction to an interface device to insert the selected ad via the at least one hidden channel during the target programming timeslot.

Abstract: The present disclosure provides a method and system for allowing a receiver of a delivery item to view moving picture corresponding to the delivery item attached on the delivery item in an augmented reality form without unpacking the delivery item so as to allow to intuitively check the information of the delivery item. According to an aspect of an exemplary embodiment, a method of providing delivery item information in a device includes: activating a camera when an application program is executed; recognizing an identification code attached on a delivery item and photographed by the camera; requesting moving picture data corresponding to the identification code from a service server and receiving the moving picture data; and outputting moving picture corresponding to the moving picture data by superimposing on a real-time camera image acquired by the camera.

Abstract: A system and method for automated multi-channel customer journey testing, that links communication channels and follows a customer interaction across multiple channels as a single journey, incorporating data and interaction content from each channel utilized to maintain a “big picture” view of a customer's journey across these channels during an interaction. The invention also provides flexible success indicators to accommodate virtual assistant and chat bot programs, by accommodating variances in expected test results such as to handle natural language variance, time of day, context, and other factors that may cause variances in interaction content.

Abstract: Among other things, a central server maintains information representative of requests communicated through the Internet from devices at request locations. Each of the requests represents a proposed reservation for services to be managed by devices at delivery locations.

Abstract: A method and apparatus for a commerce platform coordinating a purchase of a product sold by a merchant system through a third party application are described. The method may include receiving a notification from the third party application requesting to purchase a product from within the third party application, wherein the notification comprises an identifier for the product and an identifier for the merchant system that sells the product. The method may also include a product checkout interface having an appearance consistent with an appearance of a user interface of the third party application, and transmitting the product checkout interface generated by the commerce platform to a user device executing the third party application causing the third party application to render the product checkout interface within at least a portion of the user interface of the third party application.

Abstract: Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

Abstract: A method and system provide the ability to distribute content on a network. A network system of nodes is established. Each node hosts a repository daemon (RD). A data source node receives a bundle that includes a payload and a digest extension that includes metadata that characterizes an application data unit (ADU) encapsulated by the payload. A local RD of the data source node caches the received bundle and publishes an advertisement (that includes the digest extension block) for the received bundle. The local RD, of a data requesting node subscribes to advertisements, receives an expression of interest (EOI), searches the published advertisements for a matching advertisement that matches the EOI, and obtains the bundle corresponding to the matching advertisement.

Abstract: An information retrieval method, an electronic device and a storage medium are provided. The method comprises: sending at least one keyword in chatting contents in an input box of an instant messenger to a server, when it is detected that the chatting contents need to be sent to a communication counterpart; receiving, from the server based on the at least one keyword, retrieved contents and at least one category in which the retrieved contents are categorically stored in the server; and categorically displaying the retrieved contents in a current interface, in accordance with the at least one category.

Abstract: A machine implemented method and system for managing variation and customization of content or touchpoints for customer communications management. The touchpoint has a plurality of message zones able to receive messages from variants. Variants are selected from a database by a variant selector operating on a document composition server. The variants are selected based on selector data. The messages of the selected variant are placed into the message zones of the touchpoint and rendered for distribution to customer devices. When a variant at a higher level in the hierarchy is edited by the content creator, the system automatically updates dependent variants.

Abstract: An interactive vehicle safety system having capabilities to improve peripheral vision, provide warning, and improve reaction time for operators of vehicles. For example, the interactive vehicle safety system may have capabilities for portraying objects, which are being blocked by any of the structural pillars and/or mirrors of a vehicle (such as a truck, van, train, etc.). The interactive vehicle safety system disclosed may comprise one or more image capturing devices (such as camera, sensor, laser), distance and object sensors (such as ultrasonic sensor, LIDAR radar sensor, photoelectric sensor, and infrared sensor), a real-time image processing of an object, and one or more display systems (such as LCD or LED displays). The interactive vehicle safety system may give a seamless 360-degree front panoramic view to a driver.

Abstract: Technologies are provided for correlating experimental biological datasets. The disclosed technologies may be used for data dependent socialization for life scientists and organizations. Data dependent socialization may be based on statistical correlations between experimental life science data.

Abstract: A method for determining a personality profile of an online user is disclosed. Social speech content data associated with an online user is stored. A machine learning model is used to determine a first personality profile of the online user based at least in part on the social speech content data associated with the online user. A second personality profile of the online user is determined based on the social speech content data using a scientific personality model encoded in an ontology, wherein the ontology encodes statistical relationships between a plurality of words and a plurality of personality traits based on one or more scientific research studies. An ensemble model is applied to determine a third personality profile of the online user based at least in part on the first personality profile and the second personality profile.

Abstract: A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

Abstract: In an embodiment, a computer-implemented method comprises, calculating a first relational classification score for a first node in a first graph; calculating a second relational classification score for a second node in a second graph; calculating a relational classification matching score for the first node and the second node that is based upon on the first relational classification score and the second relational classification score; generating a canonical tuple that represents a match between the first node and the second node based at least upon the relational classification matching score.

Abstract: A method and system for providing advertising to a moving target vehicle. Vehicle data is determined by one or more devices namely at least one sensor device and/or a global positioning system (GPS) device. At least one processor in communication with the one or more devices receives the vehicle data. The at least one processor initiates display of video data of advertising content data on a display device on a moving advertising vehicle to display the video data to the moving target vehicle in accordance with at least one display parameter that is based on the received vehicle data and initiates play of the audio data of the advertising content data by an audio device disposed within the display device in the moving advertising vehicle. The audio data played is configured to be heard as sound by the moving target vehicle, and the audio data relates to the video data.

Abstract: Additional security is provided for users by implementing a module that notifies an account holder when the account is accessed to change in password, logout or lock the account via notifications to smartphone apps, browser plugin, etc. User can use mobile apps or browser plugin from any device to immediately stop the access by logging out the user from the already logged in systems, lock the user account, or change the password.

Abstract: Vehicle entertainment systems can obtain and use a list of predicted entertainment preferences for passengers located in or expected to be in commercial passenger vehicles. A first server can obtain the predicted entertainment preferences and can identify a multimedia content for at least one passenger based on a predicted entertainment preference. A second server located in the commercial passenger vehicle can receive and send the multimedia content to a media playback device associated with the at least one passenger. The second server can receive, from the media playback device, an indication of a preference of the at least one passenger for watching or listening to the multimedia content; update, based on the received indication of the preference, the entertainment preference for the at least one passenger to obtain an updated entertainment preference; and transmit the updated entertainment preference for the at least one passenger to the first server.

Abstract: Targeting information (also referred to as ad “serving constraints”) or candidate targeting information for an advertisement is identified. Targeting information may be identified by extracting topics or concepts from, and/or generating topics or concepts based on, ad information, such as information from a Web page to which an ad is linked (or some other Web page of interest to the ad or advertiser). The topics or concepts may be relevant queries associated with the Web page of interest, clusters, etc.

Abstract: A system and method is provided for determining a portfolio of promotions from across a diverse mix of promotion categories. The diverse promotion portfolio may represent an inventory of promotions that are available for presenting to a consumer in a particular market. Also, a system and method is provided for determining a diverse group of promotions for presenting to a consumer. The diverse group of promotions may be determined based on whether a same or similar promotion was previously presented to the consumer.

Abstract: Systems and methods for providing expedited promotions are disclosed. In one embodiment, a method may include (1) a financial institution server comprising at least one computer processor receiving, from a merchant, a transaction comprising an identification of a good or service, a customer financial instrument issued by the financial institution, and a promotion identifier; (2) the financial institution server retrieving a promotion associated with the promotion identifier; (3) the financial institution server approving the transaction with the financial instrument; and (4) the financial institution server automatically applying the promotion to the transaction.

Abstract: A system and method for providing online games on client devices based on capabilities of the client devices are disclosed. Device capability information may be obtained from the client devices during the online game. Values of one or more capability parameters may be determined based on the device capability information obtained. Device profiles may be assigned to the client devices based on the determined values of the capability parameters. One or more game features may be adjusted in accordance with the assigned device profile for implementing the online game on the client devices. The adjustable game features may include frame rate, level of detail of rendering, level of 3D graphics, level of collision effects, animation type, gameplay available for user interaction, gameplay content for user interaction, communication mode, physics effects available for display, level of artificial intelligence, and/or any other features of the online game.

Abstract: Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

Abstract: A method and an apparatus are provided. Distribution information in a first attribute dimension is acquired from a persona data collection of users who use a network service. The persona data collection includes persona data sets corresponding to the users. An evaluation data collection to match the distribution information in the first attribute dimension is extracted from a sample data collection that is collected from sample users. The sample data collection includes sample data sets corresponding to the sample users. Further, a level of accuracy of the persona data collection in a second attribute dimension is determined based on the evaluation data collection in the second attribute dimension.

Abstract: Disclosed, is a geo-fence valuation system to: access usage data at a server system, the usage data collected from a set of client devices located within a geo-fenced area, and wherein the usage data comprises data objects, wherein each data object includes at least a device identifier of a source device of the usage data, and location data; identify one or more data types of the location data, wherein the data types indicate a level of precision of the location data; determine a geodensity of the geo-fenced area based on the usage data, wherein the geodensity indicates at least a number of client devices located within the geo-fenced area; and augments the geodensity of the geo-fence based on the one or more data types of the location data.

Abstract: A method and system for matching multi-dimensional data units in an electronic information system, the method comprising: arranging interface modules and cache modules on a front-end processing device, and one interface module and two or more cache modules forming a matching module; performing service processing for at least two dimensions on a remote device, and writing a processed multi-dimensional data unit into the cache module of the front-end processing device; and after the interface module receives a user request, determining dimension information corresponding to a current scene of the user request, inquiring a matched multi-dimensional data unit in the catch module of the matching module according to the dimension information, and sending the multi-dimensional data unit obtained by the query to an output module. The method and the system are capable of improving the efficiency and real-time performance of matching a multi-dimensional information scene to a multi-dimensional data unit.

Abstract: Methods, systems, and computer readable media for suppressing cookie based advertisement retargeting are disclosed. One method includes receiving a digital identifier and a merchant identifier associated with a purchase transaction. The method further includes determining, using the digital identifier and the merchant identifier, whether a cookie exists for advertisement retargeting related to the digital identifier and the merchant identifier. The method also includes in response to determining that the cookie exists for advertisement retargeting related to the digital identifier and the merchant identifier, sending suppression information for suppressing advertisement retargeting associated with the cookie.

Abstract: A system and method for optimizing marketing campaigns is presented. Two marketing campaigns are received. Each is presented to a subset of users. The conversion rates of both marketing campaign are used to determine weighting of the two marketing campaigns. The weighting is determined using a range of conversion rates and maximizing the minimum expected value through the range of conversion rates. The process can be iteratively performed to converge upon an optimum weighting of the first and second conversion rates. More than two marketing campaigns can be used. The marketing campaign can be an email marketing campaign, a web marketing campaign, or an advertising keyword campaign. Other embodiments also are disclosed.

Abstract: A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.