Abstract: Methods and systems are disclosed that include receiving problem information from a user interface at a resolution identification system, receiving product information at the resolution identification system, and performing machine learning analysis of the problem information and the product information. The machine learning analysis produces one or more model outputs, and is performed by a machine learning system of the resolution identification system, using one or more machine learning models. Each of the one or more machine learning models produces a corresponding one of the one or more model outputs. Such a method can further include generating resolution information by performing an action identification operation using the one or more model outputs, and outputting the resolution information from the resolution identification system. The resolution information is output to the user interface.

Abstract: A computer-implemented method for contextually applying audio to an electronic media content, includes the following steps: parsing the electronic media content to determine at least one context of the electronic media content; comparing the at least one context of the electronic media content against a database of context tags corresponding to at least one context of a plurality of audio files; generating a ranked list of audio files corresponding to the comparison of the at least one context of the electronic media content against the database of context tags; selecting at least one audio file from the ranked list; and outputting the electronic media file together with the at least one audio file.

Abstract: Systems and methods for improving a search process by providing a visual guided search experience is provided. A networked system determines a location of a user device. A user interface (UI) is presented illustrating a map at a first level view of an area based on the location. The networked system receives, via the UI, a first touch input indicating a zoom selection. In response, the UI shows a second level view of the area that includes a plurality of nodes each representing a point of interest in the area. The second level view is a lower level view than the first level view. The networked system then receives, via the UI, a second touch input selecting a node of the plurality of node. In response to the selecting of the node, navigation information for a selected point of interest corresponding to the selected node is presented.

Abstract: An Integrated Circuit (IC) includes one or more functional hardware circuits, one or more processor cores, a cause-tree circuit, a memory buffer, and an analysis circuit. The processor cores are to handle events occurring in the functional hardware circuits. The cause-tree circuit includes leaf nodes, middle nodes and a root node. The leaf nodes are to collect the events from the one or more functional hardware circuits. The middle nodes are to coalesce the collected events and to deliver the events to the root node. The memory buffer is to buffer a plurality of the events delivered to the root node, so as to trigger the processor cores to handle the buffered events. The buffer analysis circuit is to analyze a performance of the cause-tree circuit based on the events buffered in the memory buffer.

Abstract: A method for generating digital certificates for anonymous users in blockchain transactions includes: storing a blockchain comprised of a plurality of blocks, each block including a block header and transaction values, where each transaction value includes data related to a blockchain transaction including a sending address, recipient address, and transaction amount; receiving a certificate request from a computing device, the request including a user public key of a cryptographic key pair; identifying a subset of transaction values in the blockchain where the sending address or recipient address was generated using the user public key; determining a confidence level based on the data included in each transaction value included in the subset; generating a digital certificate based on the determined confidence level; and transmitting the generated digital certificate to the computing device.

Abstract: The disclosure relates to systems and methods for real-time detection of a very large number of items in a given constrained volume. Specifically, the disclosure relates to systems and methods for retrieving an optimized set of classifiers from a self-updating classifiers' database, configured to selectively and specifically identify products inserted into a cart in real time, from a database comprising a large number of stock-keeping items, whereby the inserted items' captured images serve simultaneously as training dataset, validation dataset and test dataset for the recognition/identification/re-identification of the product.

Abstract: A method, computer program product, and computing system for sensing a failure within a system within a computing device. The system may include a cache memory system and a vaulted memory comprising a random access memory (RAM) having a plurality of independent persistent areas. A primary node and secondary node may be provided. The primary node may occupy a first independent persistent area of the RAM of the vaulted memory. The secondary node may occupy a second independent persistent area of the RAM of the vaulted memory. Data within the vaulted memory may be written to a persistent media using an iterator. The data may include at least one dirty page. Writing data within the vaulted memory to the persistent media may include flushing the at least one dirty page to the persistent media.

Abstract: In an example, first entities are extracted from user profiles. Second entities are extracted from content information associated with content item. User-associated metrics associated with the first entities are determined based upon the user profiles and/or content events. First vector representations of the first entities and second vector representations of the second entities are processed to generate an attention distribution array. Each value of the attention distribution array represents, for a user interested in an entity of the first entities, a proportion of (i) entity-specific activity, of the user, related to an entity of the second entities relative to (ii) an entirety of activity of the user. An inferred activity distribution array is generated by applying the user-associated metrics to the attention distribution array. A filtered subset of activity distribution values is generated by pruning values from the inferred activity distribution array.

Abstract: An indication of a selection of an entry associated with a machine learning model is received. One or more interpretation views associated with one or more machine learning models are dynamically updated based on the selected entry.

Abstract: The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

Abstract: A device may receive, from a user device, a content selection, and may receive metadata associated with the content. The device may determine viewing options, for viewing the content, based on the metadata associated with the content, and may identify dimensions of the content based on the viewing options. The device may calculate points for each of the dimensions of the content, and may assign the points for each of the dimensions of the content to generate weighted dimensions of the content. The device may associate the weighted dimensions of the content with the viewing options to generate weighted viewing options, and may rank the weighted viewing options to determine a primary viewing option, a secondary viewing option, and remaining viewing options. The device may provide the primary viewing option, the secondary viewing option, and the remaining viewing options to the user device, for display.

Abstract: A computer implemented method includes supplying to a client device prompts for a first individual to provide a vote for a preference of the first individual. The preference relates to an activity during an ephemeral time period. The vote is collected. Matches between the first individual and a pool of individuals are generated based upon common votes and matching criteria. The matches are supplied to the client device. A match acceptance for a second individual is collected from the client device. Network communication is enabled between the first individual and the second individual.

Abstract: A storage device includes a non-volatile memory (NVM) and a storage device controller. The storage device controller includes a NVM interface coupled to the NVM and one or more task queues. The storage device controller is operable to pick a task from one or more queues of the storage device. The task is parsed based upon presence of an extra header segment with an execution condition. The task without the extra header segment is sent to execution. Whether the execution condition of the extra header segment of the task is met is determined. The task with the execution condition met is sent to execution. The task with the execution condition unmet is postponed.

Abstract: Techniques for improving the display of markers on a map include pre-computing cells for multiple locations on the map and associating points of interest with the pre-computed cells. In response to a request from a user device to display points of interest for a particular location, stored data specifying the pre-computed cells for the particular location is accessed and, for each of the cells, a point of interest is selected from the points of interests associated with that cell. The user device is caused to display the map with a marker in each of the cells for the selected point of interest.

Abstract: One or more computer processors parse a received natural language question into an abstract meaning representation (AMR) graph. The one or more computer processors enrich the AMR graph into an extended AMR graph. The one or more computer processors transform the extended AMR graph into a query graph utilizing a path-based approach, wherein the query graph is a directed edge-labeled graph. The one or more computer processors generate one or more answers to the natural language question through one or more queries created utilizing the query graph.

Abstract: A system, method and apparatus for configuring a person detection sensor. The person detection sensor may limit its transmissions in accordance with a pre-configured dwell time. The person detection sensor may receive a new dwell time from a personal communication device. When the new dwell time is received, it is stored in memory and is then used to regulate the number of transmissions of the person detection sensor in accordance with the new dwell time.

Abstract: A system for selecting an image to accompany text from a user in connection with a social media post. The system is capable of receiving text from the user, identifying one or more search terms based on the text, identifying candidate images from images in one or more image databases using the search terms, presenting one or more candidate images to the user, receiving from the user a selected image from the one or more candidate images, generating the social media post comprising the selected image and the user-submitted text, and transmitting the social media post for display.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting content for user devices specific to a particular user. The aspects generally relate to providing related content items to a particular user across multiple different user devices, such as mobile devices, tablet computers, desktop computers, and televisions. The selection of the content items for a particular user and the device to which the content items are to be sent are based one or more of the following factors: user history data, subject matter category duration, frequency duration adjustment, behavioral duration adjustment, and device prioritization.

Abstract: An anomaly data detecting method performed by a computing device having at least one processor includes acquiring first time-series data, dividing the first time-series data into a plurality of sub time-series data, adjusting scales of variable values included in at least one sub time-series data among the plurality of sub time-series data and determining whether the first time-series data is abnormal by inputting scaled first time-series data to a neural network based detection model.

Abstract: A system and method for supporting identifying experts on arbitrary topics in an enterprise social network. An exemplary method can receive, at a node of a social network application, a plurality of content. The method can store the plurality of content in a database associated with the social network application. The method can index the plurality of content, resulting in an index of content, wherein the index of content includes a plurality of activity signals and a plurality of security values. The method can receive a request for a search for at least one expert on an arbitrary topic. The method can search the index of content for the at least one expert on the arbitrary topic, resulting in a plurality of search results. The method can next assign a weight for each of the plurality of search results based at least on the plurality of activity signals.

Abstract: A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A unified contextual graph for use by the conversational system, the unified contextual graph comprising components based on database queries of the conversational system and a user dialog between a user and the conversational system. For each of a set of user utterances produced in a dialog with the conversational system, a semantic meaning representation is determined. The semantic meaning representations are converted to respective sentential concept graphs. The unified contextual graph is updated based on new sentential concept graphs while the dialog with the conversational system progresses.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and computing entities for generating a comparison data value for each attribute of interest for one or more attributes of interest associated with a dataset. In one embodiment, a method is provided comprising: importing the dataset into a database environment; executing a SQL procedure to aggregate records in the dataset into attribute data items, wherein each item comprises an aggregate data value for each attribute of interest; and for each item: executing the SQL procedure to (1) generate a standardized data value for each attribute of interest based on the aggregate data value; (2) identify a cohort; (3) generate a statistical data value for each attribute of interest with respect to the cohort; and (4) generate the comparison data value for each attribute of interest based on a comparison between the standardized data value and the statistical data value.

Abstract: Methods and systems provide for presenting real-time engagement analytics for communication sessions. In one embodiment, a method maintains a communication session with a number of participants, wherein session content is presented during the communication session to the participants, and wherein participants can request real-time notes to be generated for the session content to be captured. The method determines one or more engagement metrics for participants based on the participants requesting real-time notes to be generated during the communication session. Finally, the method presents, to one or more participants of the communication session, information corresponding to at least a subset of the determined engagement metrics.

Abstract: A system and method for generating a neuropathologic nourishment program comprises a computing device configured to obtain a neural element from a neural monitoring component, generate at least a neural profile as a function of the neural element, wherein generating comprises receiving at least a neural cluster as a function of a neural counsel, and generating the neural profile as a function of the neural cluster and neural element using a neural machine-learning model, identify at least an edible as a function of the neural profile, wherein identifying comprises obtaining a nourishment composition from an edible directory, determining a nourishment abnormality as a function of the neural profile and a normal range, and identifying an edible using the nourishment composition, nourishment abnormality, and an edible machine-learning model, and generate a nourishment program of a plurality of nourishment programs as a function of the edible.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting duplicates with exact and fuzzy matching on encrypted match indexes using an encryption key in a cloud computing platform. An embodiment operates by determining a match rule index value upon reception of a new record. The embodiment encrypts the match index rule value using the customer's encryption key and a deterministic encryption method and stores the encrypted match rule index value. Duplicate detection may be later performed by using the same deterministic encryption method to determine a cypher text for a candidate entry and comparing the ciphertext to the stored encrypted match indexes.

Abstract: A method for facilitating an online continuous multimedia contest is described. The method includes receiving a multimedia content entry corresponding to a predefined category of the online continuous multimedia contest. The method further comprises associating the received multimedia content entry with an event identifier by determining an event identifier corresponding to an event associated with the predefined category of the online continuous multimedia contest, determining whether a quantity of multimedia content entries associated with the determined event identifier meets a first predefined threshold value, creating another event identifier when the quantity of multimedia content entries associated with the determined event identifier meets or exceeds the first predefined threshold value, and associating the received multimedia content entry with the other event identifier.

Abstract: Systems, methods, and non-transitory computer-readable media can provide a messaging interface that includes a first option for exchanging ephemeral messages with users of a social networking system and a second option for exchanging non-ephemeral messages with users of the social networking system; determine that a user operating the computing device has selected the first option for sending an ephemeral message; and cause the ephemeral message to be sent through the social networking system.

Abstract: In certain embodiments, document-based resolution of user inquiries may be facilitated. A predicted intent of the user is determined based on chat activity information associated with the user. A response to a user inquiry may be provided to the user via a chat interface based on the predicted intent. User response may be obtained for the response, which may indicate a failure in providing a resolution to the user (e.g., regarding a user inquiry). Upon detecting a failure in providing the resolution, a document associated with the user and matching the predicted intent may be obtained and presented to via the chat interface. The document may have content related to the predicted intent. The document may be presented as a response to the user response to seek a confirmation from the user regarding its relevance to the user inquiry.

Abstract: An electronic device, while displaying a first user interface that includes a plurality of activatable user interface objects, detects an input by a contact on the touch-sensitive surface that corresponds to a first activatable user interface object, which is associated with a first control function having a first value as a current value of the control function. In response to an input that meets toggle criteria, the device toggles the first control function between a first state based on the first value for the control function and a second state. In response to an input that meets control adjustment criteria, the device replaces the first user interface with a second user interface for selecting among a set of available values for the control function. In response to movement of the contact across the touch-sensitive surface, a current value for the control function is changed.

Abstract: Ordering and delivery of food ingredients and food service items is opaque and inefficient. A computer system for recommending substitute food products to food service providers is disclosed. The system contains a database of information about food products that is continuously updated. The database is updated by food service providers and vendors submitting information about food products and the system tags the items entered and sorts them into the database. The system then provides recommendations to food service providers of substitute food products by comparing a food service provider's order history with a query entered with items in the database. A method for increasing efficiency in delivery of food products by streamlining the ordering and delivery process is also disclosed. The streamlined system includes options for price as a function of delivery route and a central container location for food delivery to multiple food service providers within one geographic location.

Abstract: A platform identifies that a first venue attendee is similar to a second venue attendee based on at least one shared trait. The platform identifies an indicator of positivity about a particular point of interest corresponding to the second venue attendee. The platform selects the particular point of interest as a recommended point of interest for the first venue attendee based on the similarity between the first venue attendee and the second venue attendee and the indicator of positivity about the particular point of interest corresponding to the second venue attendee.

Abstract: In one embodiment, the present invention is directed to a method implemented on a computer system of database retrieval including organizing and suggesting search results by style, not just product category. In one embodiment, a computer implemented smoothing algorithm is used to adjust the ranking feature calculations from insufficient data. The use of smoothing improves the statistical confidence of the ranking features, creating a product ranking that is robust to small sample bias.

Abstract: Systems and methods are provided for a personalized entity repository. For example, a computing device comprises a personalized entity repository having fixed sets of entities from an entity repository stored at a server, a processor, and memory storing instructions that cause the computing device to identify fixed sets of entities that are relevant to a user based on context associated with the computing device, rank the fixed sets by relevancy, and update the personalized entity repository using selected sets determined based on the rank and on set usage parameters applicable to the user. In another example, a method includes generating fixed sets of entities from an entity repository, including location-based sets and topic-based sets, and providing a subset of the fixed sets to a client, the client requesting the subset based on the client's location and on items identified in content generated for display on the client.

Abstract: A different combination of multiple portions of a content item is selected for display to each of multiple sets of users of an online messaging application. The different combination of portions of the content item is sent for display to the corresponding set of users within a user interface of the online messaging application in association with information identifying a set of message threads in which each user is participating. A request to view the entire content of the content item is then received from a subset of each of the sets of users and a performance metric associated with each combination of portions of the content item is tracked based on the received request. Based on the performance metric, a performance of each portion of the content item is evaluated and used to select an optimal combination of the portions of the content item.

Abstract: Provided are methods for iteratively refining a training data set which may include training a first predictive model based on a first set of user profiles; determining a classification for each user profile of a second set of user profiles; determining a performance score for the first predictive model; determining to update the first predictive model based on the performance score for the first predictive model; determining a classification for each user profile of the first set of user profiles using the first predictive model; and selecting at least one user profile of the first set of user profiles to include in a removal set of user profiles. In some non-limiting embodiments or aspects, the method may include removing each user profile included in the removal set of user profiles from the first set of user profiles. Systems and computer program products are also provided.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.

Abstract: Systems, apparatuses, and methods may provide for technology to process graphics data in a virtual gaming environment. The technology may identify, from graphics data in a graphics application, redundant graphics calculations relating to common frame characteristics of one or more graphical scenes to be shared between client game devices of a plurality of users and calculate, in response to the identified redundant graphics calculations, frame characteristics relating to the one or more graphical scenes. Additionally, the technology may send, over a computer network, the calculation of the frame characteristics to the client game devices.

Abstract: Techniques regarding autonomous classification and/or identification of various types of noise comprised within a knowledge graph are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a knowledge extraction component, operatively coupled to the processor, that can classify a type of noise comprised within a knowledge graph. The type of noise can be generated by an information extraction process.

Abstract: Disclosed are systems and methods for improving interactions with and between computers searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The methods and systems analyze digital message content in digital communication systems to automatically identify shared user interest(s), to automatically create computerized relationship matrix data identifying user connections, or relationships, using identified shared user interest(s), and to automatically provide a recommendation using the shared user interest and user relationships formed using the shared user interest.

Abstract: Embodiments of the present invention provide a method, system and computer program product for ranking search results based upon content creation trends. In an embodiment of the invention, a method for ranking search results based upon content creation trends includes first receiving a set of results from a search engine produced in response to a search engine query of one or more search terms. The method additionally includes ranking the results of the result set according to at least one ranking factor. The method yet further includes retrieving trend data for terms associated with either or both of the results and/or the search terms. Finally, the method includes weighting the ranked results in the result set according to the retrieved trend data.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for ranking videos. The program and method include storing, in a database, a plurality of videos; obtaining, for a first of the plurality of videos, first data representing a first interaction performed by a creator of the first video in association with the first video; and obtaining, for the first video, second data representing a second interaction performed by a consumer of the first video in association with the first video. A score is computed for the first video based on the first and second data and the first video is ranked relative to a remaining subset of the plurality of videos by comparing the computed score for the first video with respective scores of videos in the remaining subset of the plurality of videos.

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract: An example operation may include one or more of receiving a request for trust information of an off-chain data source from a client, determining a category type of the off-chain data source from among a plurality of category types based on the request, retrieving a reliability value of the off-chain data source linked to one or more of an identity of the off-chain data source and the determined category type from a reliability database implemented via a distributed ledger shared among a plurality of peer nodes, and transmitting the retrieved reliability value linked to the category type to the client.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing offline models to warm start online bandit learner models. For example, the disclosed system can determine relevant offline models for an environment based on reward estimate differences between the offline models and the online model. The disclosed system can then utilize the relevant offline models (if any) to select an arm for the environment. The disclosed system can update the online model based on observed rewards for the selected arm. Additionally, the disclosed system can also use entropy reduction of arms to determine the utility of the arms in differentiating relevant and irrelevant offline models. For example, the disclosed system can select an arm based on a combination of the entropy reduction of the arm and the reward estimate for the arm and use the observed reward to update an observation history.

Abstract: A drug-screening system includes an encoding module, a candidate-drug generating module and a drug-ranking module. The encoding module is configured to encode a drug expression and at least one drug-ranking indicator to generate a first encoding variable. The candidate-drug generating module is configured to train a generative adversarial network according to the first encoding variable to generate a plurality of candidate drugs, wherein each of the candidate drugs has a generative drug expression and at least one generative drug-ranking indicator. The drug-ranking module is configured to rank strengths of the candidate drugs according to the generative drug-ranking indicator of each of the candidate drugs.

Abstract: A system for ranking electronic documents based on reference frequency includes a central controller in electronic communication with a document database. The central controller maintains a graphical model of the electronic documents that identifies all references between documents. A weight is automatically calculated and assigned to each reference within the graphical model in order to increase the significance of document references which are based on subject matter relevance and decrease the significance of document references which are based on interpersonal relationships or other meritless factors. Using the weighted graphical model, the central controller is able to automatically identify document clusters having similar subject matter, create a probability matrix for each cluster based on the weighted graphical model, and apply a power iteration to each probability matrix to yield a reference-based ranking of the electronic documents within each cluster.

Abstract: A method, computer program, and computer system is provided for multimodal content retrieval. A search query corresponding to a request for content is received. Content features corresponding to a subset of content items from among a plurality of content items are retrieved based on receiving the search query. Similarity values are calculated between the search query and the retrieved content features. Attention scores are determined for the calculated similarity values. A content item is selected from among the subset of content items of the plurality of content items. The selected content item contains a content feature corresponding to a highest attention score of the attention scores.

Abstract: A device receives user rendering data for a 3-D rendering of a user. The 3-D rendering is a proportional representation of the user and the user rendering data is available via an application. The device determines user characteristics of the user. The device receives an indication that a user device has submitted a vehicle search request. The device identifies vehicles to recommend to the user based on an analysis of: the user characteristics, and vehicle characteristics for a collection of vehicles being offered via the application. The device causes vehicle description data for the vehicles to be displayed via an interface of the application. The device receives user interaction data that indicates a user selection of vehicle. The device causes, based on receiving the user interaction data, the interface of the application to display a placement of the 3-D rendering of the user into a 3-D rendering of the vehicle.

Abstract: The embodiments set forth techniques for delivering relevant news articles to users. The techniques can involve auditioning different categories of news articles (e.g., entertainment, sports, technology, etc.) to a user to create a pleasant onboarding experience that requires minimal user input. As time progresses, affinity information for the user is gathered from various sources (e.g., news readers, web browsers, third-party applications, etc.). The affinity information can be used to (1) suggest additional categories in which the user might be interested, and (2) increase the accuracy by which subsequent news articles are delivered to the user. Additionally, feedback information about the user's interaction with the subsequent news articles can then be obtained, and various metrics associated with these news articles can be updated to reflect the user's interaction. In turn, the various updated metrics can enable these news articles to be delivered to other users in a more accurate manner.