Abstract: Search results are filtered using one or more rankers that evaluate a searcher intention to select items from a subset of search results. A subset of items may be provided that are responsive to a user search query. This subset of items may have one or more related properties and may be logically grouped together. A database of rankers may be evaluated and applied to the subset of items to determine items that are both relevant to the user search query and also correspond to a user intention for the search. As a result, the ranker may select and filter out certain items having one or more features that do not correspond to the user intention.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the generation of mobile device notifications. By processing lists of action items stored on a mobile device and gathering information that is relevant to completing the action items, it is possible to generate mobile device notifications that facilitate the completion of the action items.

Abstract: A message treatment process executed by a user's terminal when a message is being drafted is disclosed. The terminal has access to a corpus of messages containing at least one message sent by that user to at least one recipient user. In one aspect, at least one part of the message drafted by the user is retrieved. Concerning at least one message in the corpus, a semantic similarity score is calculated with a view to match at least part of the draft message with one message at least in the predetermined corpus of messages. At least one message is selected in the corpus of messages, based on the semantic similarity score calculated for a least one message in the corpus, then at least part of a previously received reply to at least one selected message is replicated.

Abstract: A system, method, and computer-readable medium are disclosed for improved image search and retrieval. In various embodiments, a multi-image information retrieval system is implemented to perform image searching and provide image search results based on user intent. Returned image results include correlated images and associated information regarding objects such as product lines. Images can include metatags and are updated with correlated information.

Abstract: A method for recommending a plurality of alternate search keywords is provided. The method may include executing a first search query using a plurality of user-entered search text. The method may also include identifying a highest contribution keyword to a plurality of search results of the executed first search query. The method may further include identifying a highest correlation alternate keyword to the identified highest contribution keyword. The method may also include creating an alternate keyword group by replacing the identified highest contribution keyword with the identified highest correlation alternate keyword. The method may further include executing a second search query using the created alternate keyword group. The method may also include displaying the plurality of search results associated with the executed first search query with a plurality of statistics associated with the executed second search query.

Abstract: Systems and methods for augmenting and sharing data from audio/video (A/V) recording and communication devices are provided. In one embodiment, a method may include receiving, from an A/V recording and communication device, image data representing an image, analyzing the image data to determine one or more objects depicted by the image data, based on the analyzing the image data, determining at least one comment associated with the one or more objects; transmitting, to a first client device associated with the A/V recording and communication device, the image data representing the image and the at least one comment, receiving, from the first client device, consent for sharing the image data with a geographic area network, the consent indicating a selection of a comment from the at least one comment, and transmitting, to a second client device, the image data representing the image and the comment.

Abstract: An organization mapping system reverse engineer's online data from websites and social network accounts into an organization map representing brands owned by a company. The mapping system extracts objects from the online data associated with different brands, products, services, campaigns, locations, events, etc. The mapping system organizes the objects into an organization map that can be used to automatically configure enterprise software. The organization map necessarily includes the most recent and up-to-date brands, products, and campaigns operating within a company and is therefore inherently more accurate than current organization mapping techniques.

Abstract: Embodiments are directed to managing visualizations of data. Visualizations that include one or more marks associated with values from a data source may be provided. A mark-of-interest may be determined from the one or more marks. Assessment models may be employed to generate assessment results for the assessment models based on the mark-of-interest and the data from the data source such that each assessment result may be associated with scores that may be based on a best fit to the data from the data source and a value of the mark-of-interest. The assessment results may be rank ordered based on their association with the scores. A report that includes the rank ordered list of the assessment results may be provided.

Abstract: Fully qualified domain name determination is disclosed. A queue of fully qualified domain names (FQDN) is created using a predetermined amount of network domains. Each FQDN is crawled from a plurality of collection agents of a computer network. For each FQDN, data comprising an Internet Protocol (IP) address of the FQDN, IP addresses for resources loaded for the FQDN and load times of the resources loaded for the FQDN are extracted. A correlation model is generated based on the data. An FQDN being accessed by one or more computer devices of the computer network is determined by using the correlation model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, are provided for displaying a target object sequence to a target user. One of the methods includes determining an initial ranking of a plurality of target objects in a target object sequence. A plurality of object features corresponding to the plurality of target objects are obtained. The plurality of object features are input, based on the initial ranking, into a reranking model. The plurality of object features are encoded to obtain a context representation vector corresponding to the target object sequence. A reranking of the plurality of target objects is obtained based on the context representation vector. The target object sequence is displayed to the target user based on the reranking of the plurality of target objects.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: The present disclosure relates to systems and methods for updating a sequence of services. The systems may perform the methods to establish a network communication with the user terminal; obtain, from the user terminal, an identification associated with a user account registered with the system; obtain a current sequence of the plurality of services associated with the identification; determine whether a condition for updating the current sequence is satisfied, when the condition for updating the current sequence is not satisfied, send the current sequence of the plurality of services to the user terminal; and when the condition for updating the current sequence is satisfied, determine an updated sequence of the plurality of services displayed on the display of the user terminal.

Abstract: Methods and systems for providing reward based verified recommendations. A method disclosed herein includes broadcasting a recommendation request to a plurality of registered users, on receiving the recommendation request from a customer. The method further includes receiving and verifying an input from at least user of the plurality of users in response to the broadcasted recommendation request using a blockchain. The received input relates to the recommendation request and the input includes at least one of at least one service provider and at least one service provided by the at least one service provider. The method also includes issuing reward points (RPs) to the at least one user who has provided the input and the service provider who is included in the input on verifying the input. The method further includes providing at least one recommendation to the requested customer using the verified input and maintained previous recommendations.

Abstract: Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

Abstract: Example file management systems and methods are described. In one implementation, a system identifies multiple files associated with a user where the multiple files are stored on multiple file storage systems. A search request is received from the user for at least one file. The system locates at least one file based on the search request by analyzing file categorization and characterization data associated with the multiple files.

Abstract: This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).

Abstract: Disclosed are systems and methods providing for automation of enterprise and other processes. The systems and methods involve receiving historical process data, applying process mining techniques and generating process models. The process models can be used to identify automation candidates. One or more automation tools designed and configured for the identified automation candidates can be deployed to automate or to increase the efficiency of the process. In one embodiment, automation tools include artificial intelligence networks, which can label a set of input data according to determined or preconfigured domain-specific labels. An aggregator module can combine the similarly labeled data as part of automating a process or to increase the efficiency of a process.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A search query is received. Search results responsive to the query are identified, including identifying a first search result in a top set of search results that is associated with a brand. Based at least in part on the query, one or more eligible content items are identified for delivery along with the search results responsive to the query. A determination is made as to when at least one of the eligible content items is associated with a same brand as the brand associated with the first search result. The first search result and one of the determined at least one eligible content items are combined into a combined content item and providing the combined content item as a search result responsive to the request.

Abstract: Embodiments are directed to a system, a computer program product, and a method for identification of linguistically related elements, and more specifically to prediction of a linguistically related element. A linguistic algorithm forms a cluster representation of corpus entries. A linguistic term is identified and applied to the cluster representation to identify proximally related linguistic terms. Associative relationships between the proximally related terms and category metadata are iteratively investigated. One or more linguistic terms related across the two more metadata categories is identified and designated as the linguistically related element.

Abstract: A system and method for organizing and retrieving conditioned data is disclosed. The data retrieval application includes a criteria determination engine, an optimization engine and a retrieval engine. The criteria determination engine determines criteria set for a list of data elements. The optimization engine organizes the list of data elements into a directed acyclic graph embodying a skip list data structure and optimizes the constructed directed acyclic graph. The retrieval engine receives a query, determines the features of the query, queries the directed acyclic graph using the features and retrieves a node representing a user interface data based on the criteria set matching the features.

Abstract: Disclosed herein is computer technology that provides adaptive mechanisms for learning concepts that are expressed by natural language sentences, and then applies this learning to appropriately classify new natural language sentences with the relevant concept that they express. The computer technology can also discover the uniqueness of terms within a training corpus, and sufficiently unique terms can be flagged for the user for possible updates to an ontology for the system.

Abstract: In one implementation, systems and methods are provided for developing a computer-implemented digital experience application having a first and a second micro-application. Each micro-application includes a front end interface configured to receive and display information. The first micro-application includes a first event manager configured to detect an application event belonging to a category, and a first state manager configured to detect an application state belonging to the category. The digital experience application further includes a driver application configured to host the first and second micro-applications, an event hub configured to receive the detected application event from the first micro-application, and a state store configured to store the detected application state received from the first micro-application.

Abstract: An online system receives third party user identifying information. The online system accesses accuracy measures associated with each of a plurality of the user identifying information sets. The online system identifies high accuracy sets of user identifying information that include the one or more types of user identifying information included in the received types of the third party user identifying information. The online system identifies as high confidence matches those local users of the online system having the high accuracy sets of user identifying information that match a corresponding set of third party user identifying information for the plurality of third party users. The online system also identifies as low confidence matches, and identifies as similar matches those of the low confidence matches that have a measure of similarity to one or more of the high confidence matches that is beyond a threshold measure of similarity.

Abstract: A system and method for providing music track recommendations for a geographical location is disclosed. In one embodiment, the method includes receiving biometric data corresponding to one or more users in a geographical location from a biometric sensor and receiving environmental data corresponding to the geographical location from an environmental sensor. The method further includes determining an opinion of the one or more users with respect to a current music track being played in the geographical location based on an analysis of the biometric data and the environmental data, and providing an instruction relating to the current music track being played based on the determined opinion.

Abstract: In a computerized information retrieval system: executing a search based on a query, to retrieve a set of tables ranked according to their relevancy to the query, wherein each of the tables includes one or more columns; selecting, from the retrieved tables, a predefined number of highest-ranking tables; scoring each column in the highest-ranking tables using a link analysis algorithm, and selecting, from the scored columns, a predefined number of highest-scoring columns; scoring terms contained within each of the highest-scoring columns, and selecting, from the scored terms, a predefined number of highest-scoring terms; re-ranking the highest-ranking tables by using the highest-scoring terms as pseudo relevance feedback that expands the query; and providing, as a response to the query, at least one of: the re-ranked tables, ordered according to the re-ranking, and data contained in at least one of the re-ranked tables, wherein the data are ordered according to the re-ranking.

Abstract: A method and associated system for processing content, including document, received from a search of information. A subject of each received document is determined. A contributor who is associated with, and is not an author of, each respective document is determined. Each contributor is queried as to a veracity of each respective document, after which a communication from each contributor verifying the veracity of each respective document is received. An education type of an author of each respective document is classified as being formal education, self-taught, or experience as indicative of an expertise level of the author of each respective document. A plurality of credentials of each contributor is received and confirmed. Prior to the subject of each received document having been determined, signatures are published to the Internet. The signatures include signed content of each respective document signed by the contributor associated with each respective document.

Abstract: A method includes displaying, on a display of an information terminal, thumbnail images of similar cases received from a case search system and displaying, in a disease name list display area, a disease name list formed from a list of disease names of the similar cases and the number of cases. If a plurality of regions of interest are set by a user when a search is conducted, the disease name list enters a mode in which the name of a concomitant disease is displayable therein.

Abstract: A computer-implemented method, apparatus, and computer program product for evaluating a page in a website are provided. The method includes obtaining a link structure of the website. The method also includes identifying a page set, the page set being a set of pages linked to a specific page in the website. The method further includes calculating a degree of dispersion of the page set in the link structure. The method also includes evaluating the specific page using the degree of dispersion to generate a score for the specific page.

Abstract: A user identity authentication method includes: receiving first information input by a user, and obtaining intermediate information of the user from a block-chain; generating second information by using the first information and the intermediate information; and obtaining a matching result by determining whether the second information matches result information stored in the block-chain, and determining whether user identity of the user is valid according to the matching result.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: A metadata aggregation system includes a computing platform having a hardware processor and a memory storing a software code including a trained entity matching predictive model trained using training data obtained from a reference database. The hardware processor executes the software code to obtain metadata inputs from multiple sources, conform the metadata inputs to a common format, match, using the trained entity matching predictive model, at least some of the conformed metadata inputs to the same entity, and determine, using the trained entity matching predictive model, a confidence score for each match. The software code further sends a request to one or more human editor(s) for confirmation of each match having a confidence score greater than a first threshold and less than a second threshold, and updates the reference database, in response to receiving a confirmation that at least one match is a confirmed match, to include the confirmed match.

Abstract: A content conversion computer system for converting static image content to dynamic content includes a memory for storing data and a processor in communication with the memory. The processor is configured to receive a static image content having a plurality of image characteristics, analyze the static image content to determine the plurality of image characteristics, determine a plurality of dynamic content characteristics used for converting the static image content to a dynamic content, and generate the dynamic content based upon the image characteristics and the dynamic content characteristics.

Abstract: In one embodiment, a method includes receiving a user query from a client system associated with a first user, determining a plurality of dialog-intents, each being associated with a particular agent of a plurality of agents, executing a plurality of tasks corresponding to the user query via the plurality of agents corresponding to the plurality of dialog-intents, receiving a plurality of execution results corresponding to the plurality of tasks from the plurality of agents, respectively, selecting two or more of the plurality of execution results for combination, generating a multi-perspective response based on the selected execution results by a stitching model, wherein the multi-perspective response comprises a natural-language response combining the selected execution results, and sending instructions for presenting the multi-perspective response to the first user to the client system in response to the user query.

Abstract: Embodiments for managing distribution of online content by one or more processors are described. Content posted to an online channel is detected. The content is viewable by a first number of viewers. A maturity score for the content is calculated. If the calculated maturity score is above a predetermined threshold, the content is caused to be viewable by a second number of viewers. The second number is greater than the first number.

Abstract: A system and method is provided for receiving, analyzing, organizing and presenting data stored on a mobile communication device. In one embodiment of the present invention, the data is organized by application-type and is searchable. In one embodiment, the system may be configured to generate first and second search results from a first search term entered by a reviewer, where the first search result includes at least a first record from a first application, the second search result includes at least a second record from a second application, and both records are displayed to the reviewer at the same time. In performing the search, the first record should match the first search term and the second record should match a second search term, where the second is identified by the system and is related to but different from the first search term.

Abstract: In one embodiment, a method includes accessing one or more order parameters associated with a first user, the order parameters including one or more user-specified parameters. The method includes determining a user preference vector for the first user. The method includes accessing references to catalog items offered by one or more vendors. Each reference is associated with one or more metadata items provided by the respective vendor. The method includes providing a first reference to a client system of the first user based on at least a comparison of the one or more order parameters, the user preference vector, and the one or more metadata items corresponding to the first reference.

Abstract: Some embodiments provide a method for expressing viability of a first database as a candidate for replacing a second database. The method identifies a first group of database queries that a group of applications directed towards the second database. The method produces a second group of queries by removing, from the first group, queries that are duplicates. Based on a set of complexity values associated with a set of components of the second group of queries, the method generates a complexity indicator representing a level of difficulty for rewriting the second group of queries for the second database.

Abstract: A method of searching data being directed into a data heap looks for the presence of multiple tags on data elements and then applies a group tag to those data elements if all tags of the group are identified. The tags are applied by group tagging applications or “GroupTagApps” (GTAs), which are small, quickly executing software applications that are each focused on the tagging of data that includes a particular set of tags in order to make the identification process rapid. Multiple GTAs in one or both of horizontal and vertical configurations may be constructed in order to provide any necessary level of speed or take full advantage of an available hardware configuration.

Abstract: In one or more embodiments, a first entity may create a profile by providing content via an interface or a first interface. A second entity may manage one or more aspects of the profile via a second interface. The amount of control the second entity has over one or more portions of the profile may be related to or based on content of the profile or a relationship between the first entity and the second entity. For example, the second entity may screen content of the profile from public view. Additionally, profiles may be searched internally within an organization or externally, such as for outsourcing or to provide vendors or clients with more customized solutions. In this manner, profile management is provided.

Abstract: Techniques are disclosed for query performance prediction (QPP) in the fusion-based retrieval setting. Symmetric list similarity measures used in traditional QPP techniques do not properly account for relevance-dependent aspects of the relationship between a given (base) reference list generated using an information retrieval technique and a final fused list generated using a fusion technique, as such a relationship is actually asymmetric. Embodiments more properly model the asymmetric relationship of reference and fused lists using an asymmetric co-relevance model that estimates, assuming a reference list contains relevant information, the odds that the fused list will be observed. In particular, the asymmetric co-relevance between a reference list and a fused list may be determined by adjusting a symmetric co-relevance of the reference list and the fused list using an odds ratio between the symmetric co-relevance of the reference list and the fused list to the reference list's own relevance.

Abstract: A method for automatically constructing and organizing a navigation graph includes receiving input data including a plurality of reports, at least two of the reports including plots, extracting a plurality of variables from the plots, building a knowledge graph from the input, wherein each node of the knowledge graph is associated with an individual one of the plots and an edge is added between two of the nodes sharing at least one of the variables in common, adding an edge weight to each of the edges of the knowledge graph, and organizing the nodes of the knowledge graph for navigation, wherein the knowledge graph is displayed in a user interface.

Abstract: Methods and systems are described for a message normalization system for multi-cloud messaging systems. The system may include identifying a first input notification with a first cloud service provider that originated from a first cloud service provider. A second input notification is identified with a second cloud service provider that originated from a second cloud service provider. First data and second data are extracted from the first and second input notifications. The first and second data are translated into a first and second message having a predetermined standardized format. The predetermined standardized format is distinct from a first input notification format and a second input notification format. The first message and the second message are delivered to a multi-cloud messaging system, the multi-cloud messaging system hosted by a cloud service provider manager.

Abstract: A system and method of training an artificial neural network. The method comprises determining an activation value for each node in a set of nodes of the artificial neural network, the activation values being determined by applying training data to the artificial neural network, and scaling the determined activation values for each of a plurality of the nodes in a portion of the artificial neural network. Each scaled activation value is determined using a scaling factor associated with a corresponding one of the plurality of nodes. Each scaling factor is determined based on a rank of the corresponding node. The method further comprises updating weights associated with each of the plurality of nodes in the portion of the artificial neural network using the determined scaled activation values to train the neural network.

Abstract: A system includes a database, a memory, and a processor. The database stores a set of transactions, each of which includes a set of fields. The processor receives a query from a user through a channel. The query is directed to a transaction stored in the database. The transaction includes a set of fields. The processor applies a machine learning policy adapted to determine a view, i.e., a subset of the set of fields that the user is likely to access using the channel. The processor further accesses the database and retrieves the view. The processor then sends the view to the channel.

Abstract: In one embodiment, a method includes receiving a user query from a client system associated with a first user, determining a plurality of dialog-intents, each being associated with a particular agent of a plurality of agents, executing a plurality of tasks corresponding to the user query via the plurality of agents corresponding to the plurality of dialog-intents, receiving a plurality of execution results corresponding to the plurality of tasks from the plurality of agents, respectively, selecting two or more of the plurality of execution results for combination, generating a multi-perspective response based on the selected execution results by a stitching model, wherein the multi-perspective response comprises a natural-language response combining the selected execution results, and sending instructions for presenting the multi-perspective response to the first user to the client system in response to the user query.

Abstract: User experience parameters are applied in formatting results to a query for presentation. The user experience parameters correspond to at least one particular subject related to the query.

Abstract: A device implementing a system for expanded search includes a processor configured to identify plural words, and generate, for each word of the plural words, a word vector based on a proximity of the word relative to other words of the plural words, the word vector comprising plural dimensions. The processor is further configured to create a compressed word vector structure comprising clusters of subsets of the plural dimensions across the word vectors, each cluster including similar values of the respective dimensions, convert the word vectors to points on at least one plane, and partition the at least one plane into nested groupings of the points based on a threshold number of points per nested grouping. The processor is further configured to create a tree look-up structure of the nested groupings, and provide the compressed word vector structure and the tree look-up structure to a client device.

Abstract: An example operation may include one or more of connecting, by a sparse peer, to a blockchain network of a plurality of peers controlled by orderers, configuring the sparse peer to operate with a partial state of a chain to reduce a bootstrap time of the sparse peer, specifying, by the sparse peer, data selection filters based on the partial state of the chain, receiving, by the sparse peer, blocks that match the selection filters from the plurality of the peers via a gossip, storing, by the sparse peer, the blocks in a ledger of the sparse peer, determining, by the sparse peer, if the ledger of the sparse peer is up-to-date based on the partial state of the chain, and in response to the determination that the ledger of the sparse peer is up-to-date, bootstrapping the sparse peer.

Abstract: A method includes accessing an audiovisual composition comprising a target video segment and a source video segment. The method also includes, in response to presence of the target video segment and the source video segment in the audiovisual composition: accessing a first keyword associated with the source video segment; and calculating a first relevance score for the first keyword relative to the target video segment based on a temporal position of the source video segment in the audiovisual composition and a temporal position of the target video segment in the audiovisual composition; accessing a textual query comprising the first keyword. The method additionally includes: generating a first query result based on the textual query, the first query result comprising the target video segment based on the first relevance score; and at a native composition application, rendering a representation of the first query result.

Abstract: The present embodiments provide visual search techniques which produces results that include both accurate similar items as well diversified items through attribute manipulation. In some embodiments, a feature vector describing the item of interest is obtained. A target feature vector is then generated at least partially from the original feature vector, in which the target feature vector shares only a subset of attribute values with the original feature vector and includes at least some values that are different from the original feature vector. An electronic catalog of items is then queried using the target feature vector, and a set of candidate items are determined from the electronic catalog based at least in part on similarity to the target feature vector. The original feature vector may be used to query for a set of similar items that are as similar as possible to the item of interest.