Abstract: Systems and methods are provided for presenting an advertisement to a first participant of a plurality of participants of a conversation based on interests of other participants of the conversation. The conversation is monitored and a profile of the first participant is accessed. An interest category of a first interest term included in the profile is identified. A second interest term is identified from a portion of the conversation provided by a second participant of the plurality of participants. In response to determining that the second interest term is different from the first interest term and that the second interest term is in the identified interest category, an advertisement matching the second interest term is identified and generated for presentation on user equipment of the first participant.

Abstract: A computer-implemented method for controlling content distribution includes forwarding information associated with a user to a device operated by the user, the information being configured for use in selecting content from any of multiple content providers for a content distribution to the user. The method includes receiving, in response to the information, an edit of the information forwarded from the device. The edit identifies a first content provider and including a first modification of the content distribution regarding the first content provider. The method includes storing the edit in association with the information such that the first modification is taken into account in the content distribution. The method can be implemented using a computer program product tangibly embodied in a computer-readable storage medium.

Abstract: A computing device can obtain data describing at least one document, the at least one document referencing at least one media object, wherein a portion of the at least one media object includes one or more characters. The computing device can obtain data describing the one or more characters in the at least one media object in the at least one document. The computing device can generate an updated copy of the at least one document that includes the data describing the one or more characters in the at least one media object. The computing device can present, on a display screen of the computing device and through an interface, the updated copy of the at least one document, wherein the one or more characters in the at least one media object are able to be selected or searched.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a communication interface, a memory storing log data with respect to external devices connected to the electronic apparatus, and a processor configured to identify a plurality of external devices having a history of being connected to the same internet protocol (IP) based on the log data, acquire, based on the log data, a first feature vector with respect to a relationship between the plurality of external devices and a second feature vector with respect to each of the plurality of external devices, acquire a graph of the relationship between the plurality of external devices based on the first feature vector and the second feature vector, and define at least one group configured by the plurality of external devices based on the graph.

Abstract: Systems, methods, and media for managing and modifying web content are provided. An exemplary method may include the steps of providing a web content management application via a web site, the web content management application adapted to maintain a global marketing framework; generating a web marketing campaign from at least a portion of the global marketing framework, wherein the data included in the web content is generated by the web content management application according to a predetermined format of rendering engines; gathering marketing data from at least one of the web server associated with the web marketing campaign and consumer devices accessing the web marketing campaign, the marketing data including information indicative of interests of consumers; storing the marketing data in a database; analyzing the marketing data; and periodically or continually modifying the content of a web marketing campaign to substantially correspond to the interests of the consumers.

Abstract: The subject technology receives session data from a set of users associated with a retail website. The subject technology generates, using at least one machine learning model, a purchase intent prediction based at least in part on the session data. The subject technology determines a set of sessions that correspond to conversions on the retail website based on the session data. The subject technology generates a combination of data using first data from the purchase intent prediction with second data based on the set of sessions that correspond to conversions. The subject technology generates information related to a missed purchase segment based at least in part on the combination of data. The subject technology provides the information for display on a client device.

Abstract: Techniques for identifying content displayed by a content presentation system associated with a physical environment, detecting a gesture of a user located within the physical environment, and storing information associated with the gesture in relation to the displayed content are disclosed.

Abstract: A computer system and method for offering coupons to a user is provided herein. The computer system includes a coupon offering server. The coupon offering server includes a shopping container image processor configured to detect a pre-purchase item in shopping container image data. The shopping container image processor includes an object detector module and a barcode detector module. The object detector module is configured to generate first detected item data, wherein the first detected item data includes an item detected in the shopping container image data using an object detection technique. The barcode detector module is configured to generate second detected item data, wherein the second detected item data includes an item detected in the shopping container image using a barcode detection technique. The computer system also includes a coupon matcher engine.

Abstract: One example method includes receiving a data stream that comprises data in a form of multi-dimensional data structures. The data stream may be received in real time as it is generated. Metadata about the data may be generated and stored. Further, portions of the data may be selected and cached, and the cached data analyzed in real time. Based on the analyzing, various insights may be generated concerning the data that was analyzed.

Abstract: A method and system of sublicensing licensed spectrum that includes establishing, by infrastructure equipment of a wireless network, sub-license terms for a radio device to operate within the licensed spectrum; retrieving, by the infrastructure equipment, the sub-license terms for operating the radio device within the licensed spectrum upon receiving a request from the radio device; and configuring the radio device to operate within the licensed spectrum in accordance with the terms of the sub-license via a virtualized interface between the infrastructure equipment and the radio device.

Abstract: Systems and methods are described for monitoring content consumption. A method may comprise determining, by a device, content accessed by one or more user devices. The method may comprise causing a distributed ledger record to be generated. The distributed ledger record may comprise an indication of the content. The distributed ledger record may be stored on a distributed ledger. The distributed ledger may comprise other records indicating content accessed by a plurality of other devices.

Abstract: A method for identifying a user includes: controlling an electronic device to connect to a first communication network; obtaining target behavior data of a user to be identified from a data pool corresponding to the first communication network, in which, the data pool stores at least one type of candidate behavior data of a candidate user, the candidate behavior data is obtained from a data source corresponding to a second communication network, and a security level of the first communication network is higher than a security level of the second communication network; and obtaining a category of the user to be identified by analyzing the target behavior data based on the first communication network.

Abstract: In one aspect, a method includes while a first content-presentation device is performing a content-replacement operation in which the first content-presentation device outputs a replacement advertisement segment in place of an advertisement segment, determining, by a computing system, that the advertisement segment is not an expected modifiable advertisement segment. The method also includes in response to determining that the advertisement segment is not the expected modifiable advertisement segment, determining, by the computing system, that the advertisement segment is ineligible for replacement.

Abstract: A data processing platform generates visualizations for data streams to visually represent a portion of data in the data stream. The platform performs an analysis of a change in values of data contained in the data stream and generates, using a result of the analysis, metadata identifying an insight into the data in the data stream. The insight indicates a characteristic of the change in values. A natural language representation of the insight is generated using the metadata and output for display in association with the visualization.

Abstract: This disclosure relates to providing content (e.g., marketing content) to an individual based on a psychographic profile of an individual. The method includes obtaining a psychographic profile of an individual. The psychographic profile comprises one or more psychographic dimensions associated with the first individual and a psychographic profile group. A psychographic dimension corresponds to at least one of an interest, an attitude, an opinion, a value, a behavior, or an activity of the individual. Content (e.g., marketing content) is received, the content being associated with a psychographic profile group corresponding to the psychographic profile of the individual. The content is provided to the individual based on the associated psychographic profile group of the content and the associated psychographic profile group of the individual.

Abstract: Embodiments cover identifying an unidentified media content item as a cover of a known media content item using lyrical contents. In an example, a processing device receives an unidentified media content item and determines lyrical content associated with the unidentified media content item. The processing device then determines a lyrical similarity between the lyrical content associated with the unidentified media content item and additional lyrical content associated with a known media content item of a plurality of known media content items. The processing device then identifies the unidentified media content item as a cover of the known media content item based at least in part on the lyrical similarity, resulting in an identified cover-media content item.

Abstract: A device may receive, from a camera device, an image that includes a person. The device may provide the image to a user recognition device and receive, from the user recognition device, a user identifier based on the person included in the image. In addition, the device may obtain user data based on the user identifier, the user data relating to prior activity relating to the person associated with the user identifier. The device may identify a user device based on a first physical location associated with the camera device and a second physical location associated with the user device, and provide the user data to the user device.

Abstract: Among other things, a computing system receives data from a user device. The data may be about one or more users and can indicate one or more content preferences associated with a first user. The computing system also receives provider data from a provider system. The provider data may be about one or more products that are offered for procurement from the provider. The computing system stores the provider data about the one or more products and at least a subset of the data about the one or more users in a memory of the system. The computing system generates a user-specific interface that is provided for output to the user device. The user-specific interface is generated using the data about at least one product and based on at least one content preference of the first user.

Abstract: A method includes: interacting, by a first device, with a user through an application in a data collection range; after determining that the user is not located in the data collection range, determining, by the first device, that the user is located in a data collection range of a second device in a network; and sending, by the first device, to-be-migrated data to the second device, so that the second device continues to interact with the user based on the to-be-migrated data. The second device supports the application, the to-be-migrated data includes information about the application and progress information, and the progress information indicates progress of interaction between the first device and the user.

Abstract: A method including providing a content catalog for items. The content catalog can include attributes for the items, values associated with the attributes, content provider identifiers of content providers that provided the values, and confidence scores for the values. The method also can include tracking source rankings for the content providers for item categories. The method additionally can include receiving a new value associated with an attribute of the attributes for an item of the items. The new value can be provided by a content provider of the content providers. The method further can include generating a priority score for the new value based on a set of input features associated with the new value and a set of score weightings associated with the set of input features. The set of input features can include (a) a source ranking of the source rankings for the content provider for an item category of the item categories associated with the item and (b) a confidence score for the new value.

Abstract: Disclosed are systems and techniques for dynamically providing real-time offers. For instance, user eligibility for one or more offers can be determined based on a plurality of dynamic user attributes associated with the user and one or more data sets corresponding to similarly situated users. An input can be received corresponding to an acceptance by the user of at least one offer selected from the one or more offers. In response to receiving the input, an updated plurality of the dynamic user attributes can be retrieved, wherein the dynamic user attributes are constantly updated in real time based on user activity. Based on the updated plurality of dynamic user attributes and the one or more data sets corresponding to the similarly situated user, it can be determined whether the user remains eligible for the at least one offer. An offer confirmation can be sent upon confirming eligibility.

Abstract: The disclosure herein relates to systems, methods, and devices for decreasing latency and/or preventing data leakage that may arise from advertisement insertion. In some embodiments, the systems, methods, and devices described herein provide for asynchronous advertisement selection and/or insertion separate from user-requested content retrieval and/or delivery, wherein the advertisement selection can be performed in parallel with and/or at a separate location from the user-requested content retrieval and/or delivery, thereby decreasing latency in rendering user-requested content. Further, in certain embodiments, the systems, methods, and devices described herein can prevent data leakage by preventing and/or circumventing the need to use cookie syncing among different DSPs, SSPs, or the like. Moreover, in some embodiments, the systems, methods, and devices described herein are configured to deliver advertisements as a native content, thereby further decreasing latency and/or preventing data leakage.

Abstract: Embodiments of the present disclosure generally relate to a content management system that automatically determines and generates topic clusters from a collection of electronic text documents. For example, the content management system analyzes a collection of electronic text documents to identify key terms and terms related to the key terms. Based on the key terms and related terms, the content management system generates a topic cluster that includes the key term and related terms. The content management system then organizes the electronic text documents based on terms within a given text document matching terms within a given topic cluster. Further, the content management system presents the topic clusters and organized electronic text documents to a user.

Abstract: The present embodiments provide an environment where a user first creates or imports a document comprising of fields to be completed by one or more users. All users who have view-only access or can act on a document are considered to be “in the workflow.” All users in the workflow (except view-only users) can take actions in the document by editing, adding or entering values or signatures in those fields. When the document is complete, a computing device adds an encrypted token visualization element to the document that uniquely identifies and secures the document. Thereafter, a copy of the original document, all attachments, authentication, security and validation information, and all other relevant information about the document and users will be available to view in the chain of custody and audit trail by the authorized users by scanning the token visualization element within the platform (web application or mobile application).

Abstract: A method for providing analysis data of a dynamic website is a method for providing analysis data, the method including the steps of: receiving visitor behavior analysis data of a dynamic webpage; identifying, from the dynamic webpage, an effective area corresponding to an effective element; acquiring, from the analysis data, event counter data corresponding to the effective area; on the basis of the event counter data, generating a heatmap representing analysis results of user behavior on the dynamic webpage; and synchronizing the generated heatmap onto the dynamic webpage, and outputting same.

Abstract: The techniques disclosed herein enable systems to provide intelligent snap assist recommendations using a diverse set of factors and factor weights. To generate recommendations, a system receives a user input placing a first item in a region of a snapped configuration in a display environment. In response, the system assigns a confidence score for a plurality of items including items open in the display environment as well as items that are not open. The system then ranks the items based on confidence score and selects a list of recommended items from the ranked list. The recommended items are then presented in a second region of the snapped configuration for selection. The system is further configured to receive and analyze user selections of snapped items to learn over time and adjust confidence scoring.

Abstract: A collection management system presents, as part of a content discovery session, a first content item from a content discovery collection that includes a plurality of content items that are ordered sequentially for presentation. In response to receiving an advancement input, the collection management system determines whether a number of content items presented as part of the content discovery session meets or exceeds a threshold number of content items, and whether an amount of elapsed time of the content discovery session meets or exceeds a threshold amount of time. The collection management system presents a first alternate content item as part of the content discover session. The first alternate content item is not included in the content discovery collection. After presenting the first alternate content item, the collection management system presents a second content item from the content discover collection that is ordered after the first content item.

Abstract: A system for executing a video summary is provided. One or more video segments for a video based on one or more digital media is generated. A video summary is generated based on a user request.

Abstract: A method including the following steps: receiving user input; resolving a feature of the input using a trainable algorithm, the trainable algorithm being trainable to resolve a feature by application of the algorithm to a dataset including a plurality of labelled dataset entries, the label of each labelled dataset entry describing a feature; wherein the trainable algorithm resolves the features in user input by identifying in the user input a dataset entry labelled with said feature; forming a UI that incorporates the resolved feature; presenting the formed UI; obtaining feedback in relation to the presented UI or a feature thereof; applying the feedback to train the trainable algorithm to resolve features of a UI, wherein feedback for training the trainable algorithm derives from any one or more of, or a combination of: user selection/validation/customisation of features presented to the user and/or user observation.

Abstract: In one aspect, a method includes while a first content-presentation device is performing a content-replacement operation in which the first content-presentation device outputs a replacement advertisement segment in place of an advertisement segment, determining, by a computing system, that the advertisement segment is not an expected modifiable advertisement segment. The method also includes in response to determining that the advertisement segment is not the expected modifiable advertisement segment, determining, by the computing system, that the advertisement segment is ineligible for replacement.

Abstract: Systems, and methods for selecting advertisements based on party size and/or engagement are provided. An Internet-connected media display device may be detected as displaying media. An up-to-date party size in a monitored space may be determined based on frequency response data by a wireless access point located close to the space. An up-to-date engagement level may also be determined with respect to each individual in the space based on frequency response data by the wireless access point. An advertisement database may be filtered for a qualifying advertisement based on the identified party size and engagement levels.

Abstract: A method, apparatus and computer program product are provided for parsing a message received from a requesting computer to identify an indication of a transaction, an entity identifier, and an identifier of a first evaluation system. The entity identifier is evaluated based on historical data and/or eligibility data to determine an alternative evaluation procedure. The alternative evaluation procedure is preformed to obtain response information regarding the transaction, that may differ from response information otherwise obtained via the first evaluation system. A response to the message is constructed that includes the response information and is transmitted to the requesting computer.

Abstract: A digital advertising system includes at least one processor configured to execute a plurality of functional modules including an analytics module to receive and analyze client attributes associated with a website visitor and a requested website to define an analytics event. The analytics module ingests and enriches data within the analytics event and provides it to a machine learning module that generates prediction models for potential bids. A management platform receives the bidding prediction and generates candidate configs. An optimization module receives the candidate configs and applies weights and additional features to select a config and generate an optimized script for the selected config. A deployment module receives the optimized script and delivers the script to the website visitor.

Abstract: An online system, such as a social networking system, generates shared models for one or more clusters of categories. A shared model for a cluster is common to the categories assigned to the cluster. In this manner, the shared models are specific to the group of categories (e.g., selected content providers) in each cluster while requiring a reasonable computational complexity for the online system. The categories are clustered based on the performance of a model specific to a category on data for other categories.

Abstract: Computer systems, methods and program products for automating pseudonymization of personal identifying information (PII) using machine learning, metadata, and crowdsourcing patterns to identify and replace PII. Machine learning models are trained for classifying known column names or key names for processing, using metadata. Column or key names are classified to be unprocessed, anonymized or pseudonymized by a pseudonymizer without revealing PII or scrubbing data into a useless format. A library of crowdsourced patterns are utilized for matching PII to data values within column or key names and PII is mapped to replacement methods. Feedback from user annotations retrains the algorithms to improve classification accuracy and Deep Learning algorithms automate the identification of PII using regular expression generation to concisely articulate how pseudonymizers search for PII patterns within a data set.

Abstract: Systems and methods are described herein for a media guidance application to determine that a user has switched away from a source transmitting a media asset with which the user was engaged and detect, while the user is switched away from the source, that secondary content transmitted by the source during a break of playback of the media asset relates to the media asset. In response to detecting that the secondary content relates to the media asset, the media guidance application may access a database to determine whether the secondary content specifically corresponds to the media asset, and, in response to determining that the secondary content specifically corresponds to the media asset, the media guidance application may generate for display the secondary content to the user.

Abstract: An information processing device generates web page data of a first window including a program causing a terminal device to execute an elapsed time determination process for obtaining first time information at a timing of a transition from the first window to a second window, obtaining second time information at a timing during which a process in the first window is executable in a state after the transition to the second window, calculating an elapsed time from a difference between the first time information and the second time information, and executing a predetermined process according to a comparison between the elapsed time and a threshold time. The information processing device executes a process for transmitting the web page data to the terminal device and causing the terminal device to present the web page data.

Abstract: The present disclosure provides a method and apparatus for determining an extended reading content, a device, and a storage medium, relating to the field of data processing. The method may include: displaying a target page, in response to a viewing request to the target page; giving a reading prompt to an extended reading resource in the target page, based on a corresponding relationship between a requirement recognition result of at least one target reading content in the target page and the extended reading resource; and displaying the extended reading resource, in response to the viewing request matching the reading prompt.

Abstract: A system and method for evaluating a subterranean earth formation as well as a method of steering a drill bit in a subterranean earth formation. The system comprises a logging tool that is operable to measure formation data and locatable in a wellbore intersecting the subterranean earth formation. The system also comprises a processor that is in communication with the logging tool. The processor is operable to calculate multiple distance-to-bed-boundary (DTBB) solutions using the measured formation data, identify DTBB solutions that satisfy a threshold, convert the identified solutions into pixelated solutions by dividing the identified solutions into pixels, generate a formation model based on the pixelated solutions, and evaluate the formation using the generated formation model.

Abstract: A device may obtain user information associated with a user and first account information associated with the user. The device may determine, based on the user information, user employment information and may determine, based on the first account information, user compensation information. The device may process, using a first machine learning model, the user employment information and the user compensation information to determine predicted future user compensation information. The device may obtain second account information associated with the user and may determine, based on the second account information, new user compensation information. The device may determine whether the new user compensation information is consistent with the predicted future user compensation information. The device may determine a predicted reason for the new user compensation information not being consistent with the predicted future user compensation information.

Abstract: A method, system and computer program product are provided. For each keyword that is visible on a display device, scanning the content that is stored on a user device, or is accessed from a network connection to identify and extract keywords. Further provided is cross-referencing the extracted keywords with a corpus of scored keywords. Based on the extracted keywords being found in the corpus of scored keywords, expanding and/or abridging any of the extracted keywords based on a score in the corpus of scored keywords prior to displaying the modified content on the display device. wherein the extracted keywords match a keyword in the corpus.

Abstract: In an embodiment, a method is performed by a computer system and includes intercepting machine learning (ML) input data before the ML input data flows into a ML model. The method also includes scanning the ML input data against a plurality of ML threat signatures, the scanning yielding at least a first result. The method also includes examining a correlation between values of first and second variables in the ML input data, the examining yielding at least a second result. The method also includes validating at least one of the first and second results via a variability analysis of error instances in the ML input data, the validating yielding at least a third result. The method also includes applying thresholding to the ML input data via the third result, where the applying thresholding results in at least a portion of the ML input data being filtered.

Abstract: Systems and methods to integrate point of sale processing, online order processing, and supply chain and store management over the Internet. In one aspect, a central server provides point of sale, online order processing, and supply chain and store management functions via browser based interfaces. The system enables users to enter orders from remote locations for order fulfillment at brick and mortar retail locations, where the POS terminals configured based on the browser based interfaces can be changed into a self service mode to allow customers to place orders for themselves at the retail locations.

Abstract: There are disclosed devices, system and methods for predicting a likelihood of whether digital video ads will start on a given user device using a predictive model of the user device. The predictive model simulates a start of play in the user device and determines if the digital video ad started to play.

Abstract: A system and method for locking a charging port to charge an electric vehicle that includes determining that the electric vehicle is located within a predetermined distance of a charging station and determining when the charging port of an electric vehicle supply equipment of the charging station is attached to the electric vehicle to actively charge the electric vehicle. The system and method also include determining if the charging station accesses a parking citation associated with parking of the electric vehicle if the electric vehicle is not attached to the charging port. The system and method additionally include locking the charging port to the electric vehicle to disallow decoupling of the charging port from the electric vehicle by an unauthorized individual to avoid the parking citation.

Abstract: A method for providing analysis data of a dynamic website is a method for providing analysis data, the method including the steps of: receiving visitor behavior analysis data of a dynamic webpage; identifying, from the dynamic webpage, an effective area corresponding to an effective element; acquiring, from the analysis data, event counter data corresponding to the effective area; on the basis of the event counter data, generating a heatmap representing analysis results of user behavior on the dynamic webpage; and synchronizing the generated heatmap onto the dynamic webpage, and outputting same.

Abstract: The present teaching relates to personalized content recommendation. A webpage is contrasted for a user having a plurality of slots each of which is to be allocated with a content item. For each of the plurality of slots, a plurality of content items in a plurality of types of content are accessed. For each of the plurality of types of content, a personalized score is predicted for each content item in the type of content, wherein the personalized score is obtained based on a trained model trained. A recommended content item of the type of content is selected based on personalized scores. An overall recommended content item is selected and allocated to a slot based on criteria associated with the personalized scores of the recommended content items and a business rule. The webpage with the plurality of slots allocated with content items is provided to the user.

Abstract: This disclosure describes techniques for generating curated In-Real Life (IRL) media data for distribution via third-party multimedia platform(s), and further providing an engagement entity (i.e., producer, merchant, or curator) with a recommendation to solicit an interaction with another engagement entity. Particularly, an IRL-Media Platform Analytics (IRL-MPA) system is described that can create curated IRL-media data by refining a presentation of raw IRL-media data, and further embedding product-service offerings and engagement requests. The IRL-MPA system may configure the curated IRL-media data for playback on one or more third-party platforms, such that a viewing audience member may respond to an engagement request embedded within the curated IRL-media data.

Abstract: Embodiments are disclosed for determining an answer to a query associated with a graphical representation of data. In particular, in one or more embodiments, the disclosed systems and methods comprise obtaining a visual embedding for a graphical representation of data, the visual embedding representing a plurality of graphical elements. The one or more embodiment further include obtaining a query embedding for a query associated with the graphical representation of data, the query embedding representing a plurality of textual elements of the query with at least one textual element substituted with an identifier for at least one graphical element of the set of graphical elements. The one or more embodiment further include generating a chart sequence from the visual embedding and a query sequence from the query embedding, generating an output sequence based on the graph and the query sequences, and determining an answer to the query from the output sequence.

Abstract: Embodiments disclosed herein select a content message to present to a user on a page of an application based on paralinguistic features of audio input received from the user for the application. The audio input is received via a microphone associated with a computing device. A feature extractor extracts paralinguistic features from the audio input. A predictive model determines a label indicating a measure of receptiveness to product placement (e.g., a predicted marketing outcome) based on the paralinguistic features. A content-selection component selects a content message to present to the user based on the label and based on a profile of the user.