Abstract: Systems and methods for efficient association of related entities. The method may comprise accessing a database of records, using a processor, to identify a set of unoptimized entities represented by one or more nodes in a graph model, a connection between a first node and a second node in the one or more nodes representing an association between a first entity represented by the first node and a second entity represented by the second node; determining the first entity is unoptimized; and determining a set of related entities for the unoptimized first entity in the graph model, the graph model having at least one common entity with a corresponding label model.

Abstract: The present disclosure relates to method for responding to a query requesting an intersection being performed. The method includes receiving a query referencing a first set, a second set, and a desired quantile related to the first set from among a plurality of quantiles; generating a data structure including a bottom-k sketch of user identifiers (ids) of the first set and corresponding numerical values of the first data; partitioning the data structure into a plurality of sketches to correspond to the quantiles, respectively; determining an intersection of one of the sketches associated with the desired quantile and a sketch of the second set; and responding to the query based on the intersection.

Abstract: Techniques for behavioral pairing in a task assignment system are described. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, at least one behavioral pairing constraint; and applying, by the at least one computer processor, the at least one behavioral pairing constraint to the task assignment system to controllably reduce performance of the task assignment system.

Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.

Abstract: An ultrasound diagnostic apparatus 1 includes an image acquisition unit 3 that generates an ultrasound image, an image recognition unit 9 that performs image recognition for the ultrasound image to calculate recognition scores, an index value calculation unit 10 that calculates index values of a plurality of parts on the basis of the recognition scores calculated for a predetermined number of ultrasound images, an order decision unit 11 that decides a determination order in which part determination is performed for the plurality of parts on the basis of the index values, and a part determination unit 12 that determines an imaging part of a subject on the basis of the recognition scores calculated according to the determination order.

Abstract: A sequence of context based search verb and search terms are selected via either touch or voice selection in a mobile wireless device and then a human articulated voice query is expanded using a culture and a world intelligence dictionary for conducting more efficient searches. Focus groups are used for populating prior query search databases for storage in the mobile wireless device that are organized by context based search terms in a mobile wireless device for efficient search.

Abstract: A method and device for keyword extraction and a storage medium. The method includes receiving, at a terminal, an original document, acquiring, at the terminal, a candidate set by extracting at least one candidate phrase from the original document, acquiring, at the terminal, an association degree between the at least one candidate phrase in the candidate set and the original document, acquiring, at the terminal, a divergence degree of the at least one candidate phrase in the candidate set, and updating, at the terminal, a key phrase set of the original document by selecting the at least one candidate phrase from the candidate set as at least one key phrase based on the association degree and the divergence degree.

Abstract: A computer-implemented method of auditing drug supply chain data gathered from a distributed ledger is disclosed. The method includes receiving a population of drug product records from the distributed ledger. The method includes receiving a first set of drug product criteria. The method includes determining a weighted probability for one or more drug product records of the population of drug product records. The method includes generating a randomized first subset of drug product records from the population of drug product records based on the weighted probability of the one or more drug product records. Other methods, systems, and the like for unbiased drug selection for audit are also disclosed.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for dynamically determining schema labels for columns regardless of information availability within the columns. For example, the disclosed systems can identify a column that contains an arbitrary amount of information (e.g., a header-only column, a cell-only column, or a whole column). Additionally, the disclosed systems can generate a vector embedding for an arbitrary input column by selectively using a header neural network and/or a cell neural network based on whether the column includes a header label and/or whether the column includes a populated column cell. Furthermore, the disclosed systems can compare the column vector embedding to schema vector embeddings of candidate schema labels in a d-dimensional space to determine a schema label for the column.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Embodiments improve data quality using artificial intelligence. Incoming data that includes a plurality of rows of data and a trained neural network that is configured to predict a data category for the incoming data can be received, where the neural network has been trained with training data including training features, and the training data includes labeled data categories. The incoming data can be processed, where the processing extracts features about the plurality of rows of data to generate metadata profiles that represent the incoming data. Using the trained neural network, a data category for the incoming data can be predicted, where the prediction is based on the generated metadata profiles.

Abstract: The present invention relates to an e-commerce method capable of integrated ordering and integrated shipment to help a user residing abroad to use a domestic online shopping mall, the e-commerce method including displaying a plurality of online shopping malls on a user terminal, displaying an integrated order product list for a plurality of products selected by a user's input from at least one online shopping mall on the user terminal, receiving a purchase-on-behalf request event for a product of the integrated order product list from the user terminal, receiving first-shipment completion information from an administrator when the first shipment of the product purchased on behalf of the user to a predetermined shipment destination is completed, and displaying an integrated shipping method list including a plurality of shipping methods corresponding to the product for the second shipment of the product to a user shipment destination on the user terminal.

Abstract: This disclosure describes systems and techniques receiving a request for information from a user and, in response, outputting the requested information along with unsolicited, interesting content that is related to, yet nonresponsive to, the requested information. In some instances, if the requested information is unknown, the techniques may output an indication that the information is unknown, followed by the additional, unsolicited, interesting content.

Abstract: Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a method includes determining, by a computer device, a closeness factor of a contact to a user, matching, by the computer, the determined closeness factor of the contact with an identifier having the same closeness factor stored in a database comprised of a plurality of different types of identifiers of the user, and transmitting the matched identifier from the database to the contact to display as an identifier of the user, wherein at least two of the plurality of identifiers in the database have different closeness factors from one another.

Abstract: Embodiments of the present invention disclose a result ranking method and device. The method includes: acquiring search key-information by using an interaction application, and searching a prestored interaction data set for at least one search result associated with the search key-information; ranking the at least one search result according to a quality assessment score corresponding to each of the at least one search result; and outputting the ranked at least one search result. The quality assessment score corresponding to each search result is a value generated according to a number of historical operations performed on each search result and an interactive influence score of an application identifier performing a historical operation on each search result.

Abstract: Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a system includes: a computer readable memory, and a computer readable storage medium located in a computer; program instructions to store a plurality of identifiers of a user in a database, wherein each of the identifiers has a different closeness factor of the user than other identifiers of a same type stored in the database; program instructions to determine a closeness factor of a contact to a user; program instructions to match the determined closeness factor of the contact with an identifier having the same closeness factor stored in an database; and program instructions to transmit the matched identifier from the database to the contact for display as an identifier of the user.

Abstract: Systems and method herein describe embedding graphs into a semantic multidimensional space by receiving a dataset, constructing a Markov chain from the dataset, the Markov chain comprising a plurality of nodes selecting a basis node and a target node from the plurality of nodes, determining a distance from the target node to the basis node, storing the distance between the target node and the basis node in a vector, analyzing the vector, and determining a semantic characteristic of the target node based on the analysis of the vector.

Abstract: In various embodiments, a scheduling application automatically determines the timing of linearly dependent events. In operation, the scheduling application detects that a first event included in an original scheduled sequence of events has not completed by a scheduled completion time based on a current time. The scheduling application then determines that a second event included in the original scheduled sequence of events has a dependency on the completion of the first event. Subsequently, the scheduling application updates one or more temporal properties associated with the second event based on the current time to generate a third event. The scheduling application then generates, via a processor, a modified scheduled sequence of events that includes the third event instead of the second event. Advantageously, automatically adjusting the timing of linear dependent events based on the current time reduces inefficiencies associated with conventional scheduling techniques.

Abstract: The disclosed embodiments provide a system for performing inference. During operation, the system obtains a graph containing nodes representing members of an online system, edges between pairs of nodes, and edge scores representing confidences in a type of relationship between the pairs of nodes. Next, the system performs a set of iterations that propagate a label for the type of relationship from a first subset of edges to remaining edges in the graph, with each iteration updating a probability of the label for an edge between a pair of nodes based on a subset of edge scores for a second subset of edges connected to one or both nodes in the pair and probabilities of the label for the second subset of edges. The system then performs one or more tasks in the online system based on the probability of the label for the edge.

Abstract: An analytics engine (AE) computing system for analyzing and evaluating data in real-time associated with a performance of parties interacting within a multi-party interaction is provided. The AE system is configured to receive interaction data from a data validation (DV) computing device, retrieve contextual data from a contextual data source, determine a task identifier, and calculate a task score. The AE system is also configured to retrieve normalization model data from a normalization database, compare a plurality of normalization rules to the validated interaction data and the contextual data, and determine at least one normalization factor applies to the task score. The AE system is further configured to normalize the task score based on the at least one normalization factor, calculate an aggregate score using the normalized task score, and store the validated interaction data, the normalized task score, and the aggregate score in an analysis database.

Abstract: A method, system, and non-transitory compute readable medium for vector representation of a sequence of items, including training a sequence using a first distributed representation, such that a new distributed representation is produced for which vector entries of the new distributed representation are amplified to create dominant dimensions for when the vector entries of each item correspond to a class of an item to be explained and fractionalizing vector entries of each item that do not correspond to the class of the item to be explained such that the dominant dimensions correspond to higher absolute value entries than the fractionalized vector entries in order to emphasize the dominant dimensions.

Abstract: A computer-implemented system and method for generating and displaying an authority score through a software application executed by a process or a computing device. The processor may receive visit data indicative of a user's presence and review data describing an entity at a location. The processor may determine an authority score for the review data and perform a calculation using at least a portion of the visit data as at least one input. The processor may generate and cause a visual indication of the authority score to be displayed by a display device.

Abstract: Provided are processes of balancing between exploration and optimization with knowledge discovery processes applied to unstructured data with tight interrogation budgets. A process may determine an alignment score of each entity participating in an evaluation of a feature in a knowledge discovery process based on feedback received from the respective entities for the feature. Feedback of an entity that is mapped in the PGN may be processed to determine an alignment score of the entity for the feature, e.g., based on how the entity scored a feature. A plurality of different distributions indicative of alignment scores may be processed for display to visually indicate to a user the alignment of participating entities in their evaluations of the features.

Abstract: Systems and techniques for computing infrastructure standards assay are described herein. A set of existing configurations may be obtained of an existing software application executing on a set of computing systems operating in the computing infrastructure. The set of existing configurations may be evaluated using artificial intelligence to identify the standard configuration. The standard configuration may include a set of configuration options that appear most often in the set of existing configurations. A score may be generated for each existing configuration of the set of existing configurations based on deviation between the existing configuration and the standard configuration. A notification may be transmitted to an administrator based on the score. The notification may include an indication of options of the standard configuration that differ from options of the existing configuration.

Abstract: Asset recommendation for a particular input dataset is provided. Candidate data analysis assets having a corresponding relatedness score associated with the particular input dataset greater than a defined relatedness score threshold value are selected. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are ranked by score. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are listed by rank from highest to lowest. A justification for each candidate data analysis asset is inserted in the ranked list of candidate data analysis assets. The ranked list of candidate data analysis assets along with each respective justification is outputted on a display device.

Abstract: A method generates a data visualization dashboard using a natural language interface. The method is performed at a computing device having a display, one or more processors, and memory. A user specifies a natural language input directed to a data source, using a first region of a graphical user interface. In response, the computing device parses the natural language input to identify one or more database entities from the data source. For each of the database entities, the computing device determines one or more respective analytical operations for the respective database entity. The device then generates a dashboard, which includes a plurality of data visualizations corresponding to distinct combinations of the analytical operations. The first dashboard is displayed in a second region of the graphical user interface, distinct from the first region.

Abstract: In an embodiment, the disclosure provides computer-implemented systems and methods for providing graph-based recommendations of digital media collaborators for content creators. In an embodiment, the disclosure provides computers programmed to implement a networked, online platform for facilitating collaboration between content creators. In an example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, of a specific content type. In another example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, without restricting the content type, using a community detection algorithm. In embodiments, recommendations may be made partly based on centrality measures of creator nodes on a network graph programmatically calculated between content nodes of that network graph, or content nodes of a community detected in the network graph.

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: The present invention involves a web site advertising placement system and method which identifies web sites unaffiliated with the advertiser and related to a topic being advertised to provide advertising links that refer to unaffiliated web sites.

Abstract: The purpose of the present invention is to sway a user to increase purchase desire, by constructing a system that successively links related information to one piece of information, thereby making it easy to grasp related information. In the present invention, a reception unit 101 receives an evaluation of a user U2 with respect to content C1 recommended by a user U1, and a recommendation by the user U2 about content C2 determined by the user U2 to be related to the content C1. A management unit 102 manages user information of the user U2 in association with content information of the content C1 and content information of the content C2. When a user U3 accesses the content C1, a presentation unit 103 presents to the user U3, on the basis of the mutual correspondence relationship of these pieces of information, at least one piece of information from among these pieces of information. Due to the foregoing, the present invention solves the abovementioned problem.

Abstract: A computer-implemented method for contextually applying audio to an electronic media file, includes the following steps: parsing the electronic media file to determine at least one context of the electronic media file; comparing the at least one context of the electronic media file 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 file against the database of context tags; selecting at least one audio file from the ranked list; and generating an output file containing the electronic media file and the at least one audio file.

Abstract: The present application is generally directed to a decentralized identity management system that has one or more processors configured to receive a review from a user regarding an entity, determine one or more locations associated with the entity, determine a location associated with the user; and determine a reputation score for the entity based on the review, a location of the one or more locations, and the location associated with the user. Additionally, the one or more processors are configured to cause the reputation score to be recorded on a distributed ledger.

Abstract: System and methods are described for performing load balancing by continually collecting real-time metrics values from a plurality of endpoints in a cloud computing system, the real-time metrics values representing current performance measurements of processing by the endpoints, and using the collected real-time metrics values by a controller to continually determine a current weight value for each endpoint, the current weight value representing a probability that the endpoint will be selected to process a user request. The method includes receiving the user request for the cloud computing system to perform requested processing; selecting an endpoint of the cloud computing system to process the user request based at least in part on the current weight values of the endpoints; and sending the user request to the selected endpoint.

Abstract: A communications platform can be configured to reveal content of notifications at predefined times. When a first user sends a notification to a second user of the communications platform, the first user can provide content for the notification and specify a time when the content can be revealed to the second user. The notification can then be delivered to the second user with an indication of the specified time when the second user will be able to open the notification to reveal its content. Prior to the specified time for opening the notification, the second user can request a hint from the first user. When the hint is presented to the second user, the content of the notification can remain concealed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextually disambiguating queries are disclosed. In an aspect, a method includes receiving an image being presented on a display of a computing device and a transcription of an utterance spoken by a user of the computing device, identifying a particular sub-image that is included in the image, and based on performing image recognition on the particular sub-image, determining one or more first labels that indicate a context of the particular sub-image. The method also includes, based on performing text recognition on a portion of the image other than the particular sub-image, determining one or more second labels that indicate the context of the particular sub-image, based on the transcription, the first labels, and the second labels, generating a search query, and providing, for output, the search query.

Abstract: A computer-implemented method is provided to preforming re-categorization of financial transactions. The re-categorization is implemented by a server computing device which receives the financial transactions associated with a merchant and a first category. The server computing device receives user inputs that are each associated with re-categorizing a financial transaction from the first category to one or more other categories. Based at least in part on a count of the first category and counts of the one or more other categories, the server computing device determines a set of normalized ratios for the first category and the one or more other categories with respect to a total number of respective financial transactions received. The server computing device determines a second category corresponding to a minimum value in the set of the normalized ratios for each financial transaction associated with the merchant.

Abstract: Product recommendations are selected according to a model. Product recommendations may be annotated with rules of the model used to select the products. A user may modify the model and be provided with a URL and a cookie associated with the modified model. Subsequent requests or the URL and presenting the cookie are processed using the modified model. A context may be associated with the cookie and modified by the user to observe performance of the model for the context. An interface may permit a user to specify rules for the model or otherwise model its behavior. User interactions with a website result in recommendations according to the model. A journey is recorded that records content, recommendations, and parameters of the model corresponding to the recommendations. The journeys of users may be filtered and visually presented to a user.

Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.

Abstract: Systems and methods for generating social annotations for content that are capable of being seen by a broad audience are provided herein. A system can include a user identification component configured to identify a user that has potential for generating a valuable endorsement of a content item based at least in part on a sharing setting associated with a user. The system further includes an audience component configured to determine an audience associated with the user based at least in part on the sharing setting, a user selection component configured to select the user as a candidate user for generating the endorsement of the content item in response to a determination that a size of the audience exceeds a threshold, and a targeted content component configured to, in response to selection of the user, provide the content item to the user with a capability to endorse the content item.

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: A visual trigger node, indicative of a trigger, is displayed on a first display portion. A trigger configuration user interface is also displayed. A property input, indicative of a property that activates the trigger, is detected and code is generated to map the trigger to the property.

Abstract: Techniques are disclosed relating to automated operations management. In various embodiments, a computer system accesses operational information that defines commands for an operational scenario and accesses blueprints that describe operational entities in a target computer environment related to the operational scenario. The computer system implements the operational scenario for the target computer environment. The implementing may include executing a hierarchy of controller modules that include an orchestrator controller module at top level of the hierarchy that is executable to carry out the commands by issuing instructions to controller modules at a next level. The controller modules may be executable to manage the operational entities according to the blueprints to complete the operational scenario.

Abstract: Disclosed herein are methods and systems for facilitating information and expertise distribution via a communication network. A method at a first computing device may include receiving a request for information from a second computing device, determining at least one third computing device based on an analysis of the request for information, communicating the request for information to the determined at least one third computing device, receiving a response corresponding to the request for information from the determined at least one third computing device, adjusting a credit level of a user associated with the determined at least one third computing device based on the received response, and communicating the response to the second computing device. The credit level of the user may indicate one or more credits earned by the user.

Abstract: Methods, systems, and non-transitory computer-readable record media for managing event messages may be provided. A message management method may include generating, by at least one processor, an event related to a chatroom based on an event message input from the chatroom, assigning, by the at least one processor, a reply to the event message, from among messages in the chatroom, to the event, and displaying, by the at least one processor, the reply to the event message in association with the event.

Abstract: A method includes receiving a web-page with a search bar and a first set of card(s) including file(s) of a first set of content files. The method includes transmitting an indication the search bar was selected and receiving tag array(s) associated with a second set of content files. The method includes displaying, within an expanded search bar, tag array(s) including a first tag array associated with file(s) among the second set of files, and transmitting an indication the first tag array was selected from within the search bar, and receiving a third set of content files for populating card(s) on a modified web-page. Each file of the third set of files includes a file most-recently downloaded to a server and associated with the first tag array. The method includes displaying the modified web-page, including a second set of one or more cards including file(s) of the third set of files.

Abstract: Systems and methods for scoring popularity of entities in a social network are disclosed herein. An exemplary system assigns popularity scores to a plurality of entities in a social network, the popularity scores including a first popularity score assigned to a first entity of the plurality of entities and a second popularity score assigned to a second entity of the plurality of entities, and adjusts, in response to an operation in the social network, the second popularity score based on the first popularity score. In certain examples, the system also adjusts, in response to the operation in the social network, the first popularity score based on the first popularity score at the time of the operation.

Abstract: A method for constructing blocks to a probabilistic blockchain is provided. The method includes receiving a plurality of transactions from a plurality of agents. Each transaction of the plurality of transactions includes a confidence rating. The method also includes generating a summary based on the plurality of confidence ratings associated with the plurality of transactions. The method further includes generating a block based on the summary and the plurality of transactions. Moreover, the method includes transmitting the block to a plurality of nodes for verification. If the block is verified, the method also includes adding the block to the probabilistic blockchain.

Abstract: Privacy protection methods, systems, and apparatus, including computer programs encoded on computer storage media, are provided. One of the methods is performed by a first computing device and includes: obtaining a plurality of object IDs, wherein the plurality of object IDs include a target object ID; sending the plurality of object IDs to a second computing device storing a plurality of pieces of data respectively associated with the plurality of object IDs for the second computing device to generate a plurality of ciphertexts respectively based on the plurality of pieces of data; and executing a cryptography protocol with the second computing device to obtain a ciphertext corresponding to the target object ID from the plurality of ciphertexts generated by the second computing device, wherein the target object ID is unknown to the second computing device.

Abstract: Methods and systems for generating item recommendations are disclosed. One method includes sampling from a weighted node-based graph to generate a sampled graph, wherein sampling includes selecting a plurality of nodes and, for each selected node, one or more node pairs. The selection of the node pairs is based at least in part based on a weight assigned to the node pair in the weighted node-based graph. The method further includes aggregating information from the one or more neighboring nodes into each corresponding node of the plurality of nodes in the sampled graph to generate a vector representation of the sampled graph. The method also includes applying a loss function to the vector representation of the sampled graph to generate a modified vector representation. The modified vector representation is used to generate, in response to identification of an item from an item collection, a selection of one or more recommended items from within the item collection.

Abstract: The description relates to diversified hybrid image annotation for annotating images. One implementation includes generating first image annotations for a query image using a retrieval-based image annotation technique. Second image annotations can be generated for the query image using a model-based image annotation technique. The first and second image annotations can be integrated to generate a diversified hybrid image annotation result for the query image.