Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: Provided is a process of obtaining a plurality of location data sets from different providers of user geolocation history, each location data set including a plurality of user-activity records, each user-activity records being associated with a user identifier and including geolocations of the corresponding user and times that the corresponding user was at the geolocations, the different providers having different user identifiers for a given corresponding user; matching, by one or more processors, the user identifiers between the location data sets based on geolocations of the corresponding user and times that the corresponding user was at the geolocations; and storing the matched user identifiers in association with one another in corresponding user profiles.

Abstract: Systems, methods, and non-transitory computer-readable media (systems) are disclosed for generating meaningful and insightful user segment reports based on a high dimensional data space. In particular, in one or more embodiments, the disclosed systems utilize a relaxed bi-clustering model to automatically identify user segments in a data space including datasets of features specific to individual users. In at least one embodiment, the disclosed systems identify and include users in automatically generated user segments even though those users are associated with some, but perhaps not all, of the features as other members in the automatically generated user segments.

Abstract: An automated interactive optimization method of short keyword queries for improving information retrieval from opaque (black box) search engines is disclosed. The method requires collecting data from several fact-checking websites, for creating dataset used for evaluation; estimating the relevance of posts/query results retrieved from a search engine to a given input document, by calculating the mean relevance error (MRE), based on estimating the minimal distance between words comprising both the retrieved posts and the input document; labeling a subset of claims for evaluation, by choosing a number of claims that gained the maximal and the minimal mean relevance error (MRE); and finding the most appropriate queries in order to retrieve the maximal number of relevant posts using an opaque search engine, by performing an interactive greedy search for the best word that should be added to the input query, for maximizing the corresponding posts retrieved by the search engine.

Abstract: An artwork transaction method, an artwork transaction apparatus, and a program therefor are provided, which allow for secure transaction of artwork on a network using computers. The artwork transaction method includes using a computer to receive the artwork and biometric signature data. The artwork transaction method includes using the computer to issue, to a contract account on a blockchain network, an exhibition transaction that includes information used for identifying the artwork and includes the biometric signature data.

Abstract: A system creates and searches knowledge base (KB) articles inside an organization while supporting operation as a SaaS (Software as-a-Service) across a plurality of organizations. The system implements a real-time online learning-to-rank (L2R) algorithm for learning relevance scoring that is customized to each organization. This algorithm incorporates rich lexical features using a query similarity kernel. A scoring function includes a pairwise static module, which may be trained off-line using training data, and a lexical adaptive module, which is trained on-line based on user feedback. The scoring function makes the system easy to deploy, modify, and suitable for handling events that naturally happen over the lifecycle of any KB deployment, without manual training.

Abstract: Performing, by a low-latency data access and analysis system, automatic grammar switching includes, in response to obtaining data indicating a request to switch from using a first defined grammar to using a second defined grammar, wherein the request includes data representing a first resolved-request generated for a first input string using the first defined grammar, generating, using the second defined grammar, a second resolved-request for the first input string, automatically generating a data-query in accordance with the second resolved-request, and outputting output data including results data obtained by executing the data-query.

Abstract: Exemplary embodiments of the present disclosure provide a method, apparatus, and computer-readable medium for identifying. An exemplary method includes providing a plurality of identifiers from a plurality of data sources, the plurality of identifiers corresponding to a plurality of entities, and creating a plurality of tuples based on the plurality of identifiers, wherein each one of the plurality of tuples corresponds (i) a particular one of the plurality of data sources and (ii) to at least two identifiers that are linked together. The method further includes receiving an identifier, and determining whether the received identifier matches any of the plurality of tuples.

Abstract: Technologies for generating relevance-independent position effects estimates for a set of ranked digital items are described. Embodiments include creating an input data set that includes request tracking data and associated activity tracking data. A relevance-independent position effects estimator generates an output data set. An item of the output data set includes user interface position data associated with a pair of adjacently positioned items of the input data set. The user interface position data indicates that a change in user interface activity probability data relating to a change in position between the items of the pair is greater than a change in the user interface activity probability data relating to a difference in the relevance score between the items of the pair. The output data set is stored in a searchable data store. Data from the searchable data store is provided to a downstream service.

Abstract: Methods and computer storage media are provided for generating entries for documents in a forward index. A document and its document identification are received, in addition to static features that are query-independent. The document is parsed into tokens to form a token stream corresponding to the document. Relevant data used to calculate rankings of document is identified and a position of the data is determined. The entry is then generated from the document identification, the token stream of the document, the static features, and the positional information of the relevant data. The entry is stored in the forward index.

Abstract: An electronic construction collaboration system for managing a construction project is provided. The electronic construction collaboration system includes an Enterprise Resource Planning (ERP) sub-system including a contract engine configured to generate at least one project contract including a contract data set and ERP metadata corresponding to Building Information Modeling (BIM) metadata included in a structural object of a construction project model in a BIM sub-system and an interconnection engine configured to associatively link the ERP metadata and the BIM metadata and send the contract data set to the BIM sub-system in response to associatively linking the ERP metadata and the BIM metadata.

Abstract: A research assistant system may include a research tool and components and a user interface to discover and evidence answers to complex research questions. The research tools may include components to iteratively perform steps in a research process, including searching, analyzing, connecting, aggregating, synthesizing, and chaining together evidence from a diverse set of knowledge sources. The system may receive an input query and perform a semantic search for key concepts in a text corpus. A semantic parser may interpret the search results. The system may aggregate and synthesize information from interpreted results. The system may rank and score the aggregated results data and present data on the user interface. The user interface may include prompts to iteratively guide user input to explore evidentiary chains and connect research concepts to produce research results annotated by evidence passages.

Abstract: Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.

Abstract: Embodiments generate random walks through a directed graph that is represented in a relational database table. Each row of the graph table represents a directed edge in the graph and includes a source vertex and a destination vertex. Each row is further augmented to (a) indicate the number of outbound edges starting from the destination vertex in the row and (b) include an identifier that distinguishes the edge from other outbound edges starting from the same source vertex. An SQL query may be executed on the augmented graph table. Starting from a source vertex (starting vertex or the destination vertex of the previously selected hop) the query randomly selects a row of the graph table representing one of the outbound edges from the source vertex and adds the selected outbound edge as a row in a random walk table that represents the next hop in the random walk.

Abstract: The invention relates to a method for mapping topics. The method includes obtaining terms, obtaining tokens from each term, and identifying a first and a second set of topics. Each of the topics represents one or more of the terms. The method further includes identifying first and second topic names for the first and the second sets of topics. For each topic, the tokens associated with the terms assigned to the topic are analyzed for relevance, and a token with a high relevance is selected as the topic name. The method also includes selecting one of the first and one of the second sets of topics to obtain first and second selected topics, determining, based on the one or more terms, a similarity value between each of the first and the second selected topics, and establishing a mapping between similar first and second selected topics.

Abstract: A computer-implemented method of preloading content includes generating a user interface; receiving a set of object models; processing the received object models; based on detecting an event: (i) receiving a document model; and (ii) rendering the document model via a viewport. A non-transitory computer readable medium contains program instructions that when executed, cause a computer to generate a user interface; receive a set of object models; process the received object models; detect an event; receive a document model; and render the document model via a viewport. A computing system includes a processor and a memory storing instructions that when executed by the process, cause the computing system to generate a user interface; receive a set of object models; process the received object models; detect an event; receive a document model; and render the document model via a viewport.

Abstract: Disclosed is a data fabric service system that can be implemented in a distributed computer network, such as a data intake and query system. The data index and query system can receive a search query and define a search scheme for applying the search query on distributed data storage systems including internal data storage and external data storage. The data index and query system may provide a portion of the search scheme to a search service of the data fabric service system, which can cause worker nodes of the data fabric service system to perform various functions—including applying the search query to the external data storage based on the portion of the search scheme in order to obtain search results.

Abstract: A data processing method, a data processing device, and a non-volatile computer-readable storage medium are provided. The data processing method includes: setting a default mapping file; when a database query request is received, parsing through a default mapping file to generate a first query instruction; and querying a corresponding datasheet according to the first query instruction.

Abstract: Embodiments may be associated with database access. In some embodiments, a machine learning linear regression training platform determines a set of database properties (e.g., direct and/or indirect properties such as a document type, a type of process, a number of items, etc.) associated with Online Transaction Processing (“OLTP”) database table access. The machine learning linear regression training platform may then train a linear regression model based on the set of database properties and prior locking information (e.g., locking and unlocking timestamps) that represent access to the OLTP database table. Information about the linear regression model may be output to a wait time estimation platform that adapted to use the linear regression model to generate, in substantially real-time, an estimated wait time for an OLTP database table access based on the database properties of the OLTP database table access.

Abstract: Systems and methods of selecting a relevant user for introduction to a user in an online environment are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of receiving a request to identify the relevant user to be introduced to the participating user in the social network, identifying a set of social history records that occurred among the multiple users in the social network, selecting, from the multiple users, the relevant user to be introduced to the participating user using the set of social history records. The relevant user that is selected is not a social connection of the participating user in the social network. One embodiment includes, determining whether the participating user is interested in meeting the relevant user in the social network based on an indication made by the participating user via interaction with the user device.

Abstract: A communication method, system, device and computer-readable storage medium are applicable to a Windows system. The method involves: determining a media file used when communicating through a message queue; acquiring identification information of a communication sender; and adding the identification information to an access control list of the media file, such that the communication sender can access the media file, so that the communication sender can communicate through the message queue. Identification information of the communication sender is added to the access control list of the media file, increasing the probability that the communication sender successfully accesses the media file, and thereby improving the success rate of the communication sender through the message queue, and improving the communication stability of the Windows system.

Abstract: A retrieval apparatus includes a first retrieval unit, a second retrieval unit, and an integration unit that calculates an integrated similarity by integrating a first similarity calculated by the first retrieval unit and a second similarity calculated by the second retrieval unit. For similarities between a basic image, an image similar to the basic image, and an image dissimilar to the basic image of the reference images, at least the feature extraction of the first retrieval unit is learned such that a margin based on a second similarity between the basic image and the similar image and a second similarity between the basic image and the dissimilar image increases as the second similarity between the basic image and the dissimilar image increases relative to the second similarity between the basic image and the similar image.

Abstract: A computer system and computer-implemented method for retail merchandise planning, including promotional product selection, price optimization and planning. According to an embodiment, the computer system for generating an electronic retail plan for a retailer comprises, a data staging module configured to input retail sensory data from one or more computer systems associated with the retailer; a data processing module configured to pre-process the inputted retail sensory data; a data warehouse module configured to store the inputted retail sensory data and the pre-processed retail sensory data; a state model module configured to generate a retailer state model for modeling operation of the retailer based on the retail sensory data; a calibration module configured to calibrate the state model module according to one or more control parameters; and an output module for generating an electronic retail plan for the retailer based on the retailer state model.

Abstract: Techniques for prioritizing resources of various users, associated with a device, when responding to a user input received from the device are described. When a user input is received from a device, a system may generate a resource list for a group profile (e.g., a household profile) and each user profile (including any guest user profile) associated with the device. Each resource list may include the catalogs of resources (e.g., songs of a playlist, contacts of a contact list, etc.) of the group profile or user profile. The system may also generate a weight matrix including a respective weight for each catalog of each resource list. Various processing components (e.g., an automatic speech recognition component, a natural language understanding component, and an entity resolution component) may process using the resource lists and the weight matrix to determine an output responsive to the user input.

Abstract: Provided herein are database structures, systems, and methods for an anonymous, information exchange platform. The information exchange platform described herein may comprise blockchain structures, decentralized networks, peer-to-peer technology, cryptographic techniques, and/or a combination thereof. Past and present actors associated with a topic of information (e.g., a product) may flexibly exchange information on the information exchange platform by implementing question and answer protocols.

Abstract: A method for identifying documents that are similar in content to an input document includes receiving a request for identifying similar documents from among a plurality of candidate documents, retrieving document classification attributes for the input document and the candidate documents, where the document classification attributes are document level attributes.

Abstract: Computer-implemented systems and methods for repetitively performing a search. The methods include receiving a search query that includes one or more search parameters including one or more search terms. A search may be repetitively performed to produce a plurality of search results at different points in time, each performed search being based, at least in part, on the one or more search parameters included in the search query. A determination may be made for one or more of the search results whether there is a difference between each of the one or more of the search results and a preceding search result and presenting the one or more of the search results including identifying one or more differences between each of the one or more of the search results and a preceding search result if there are any differences.

Abstract: In an example embodiment, a skip logic using downsampling is applied to negative signals on a training data set fed to a machine-learning algorithm to train a machine-learned model. By downsampling the negatively labeled pieces of training data, the technical problem encountered in biasing the machine-learned model towards negative cases is overcome.

Abstract: A customer management system can be designed to provide an integrated smart graphical user interface. For example, a computing device can receive information that includes a topic of conversation for a chat-based communication; initiate, via a first graphical user interface (GUI), the chat-based communication with another computing device after the information is received, display, via a second GUI, the user profile associated with the person, wherein the second GUI is displayed adjacent to and integrated with the first GUI; determine a relationship between one or more words or phrases received via the first GUI from the first computing device and the additional information in the user profile, where the relationship is determined in real-time or near real-time as the one or more words or phrases are received; and display a visual indicator in the second GUI that shows content in the second GUI that is relevant to the determined relationship.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

Abstract: Embodiments of systems and methods for a search system that is adapted to utilize a family search operator are disclosed. Such a family search operator may return all documents that match the inner expression encompassed by the family search operator or having a family member that matched the inner expression of the family search operator.

Abstract: Example methods and apparatus for associating media devices with a demographic composition of a geographic area are disclosed. Disclosed example apparatus are to obtain a plurality of Internet Protocol addresses assigned to a media device associated with a panel member. Disclosed example apparatus are also to determine a most used Internet Protocol address from the plurality of Internet Protocol addresses, determine a geographic location corresponding to the most used Internet Protocol address, associate a geographic area with the media device in response to a determination that the geographic location corresponds to a location of an internet service provider, determine a demographic profile associated with the geographic area, and associate the demographic profile with the media device.

Abstract: A similar transition identification device includes: acquisition means for acquiring structure information of a screen related to a Web application and element information indicating constituent elements of the screen; identification means for identifying a similar transition representing screen transitions to other screens displaying contents similar to each other from among screen transitions to one or more other screens capable of being transitioned from the screen related to the Web application, the identification means identifying the similar transition based on the structure information and the element information acquired by the acquisition means; and creation means for executing one or more screen transitions selected from the similar transition identified by the identification means and creating specification information related to transitions between screens of the Web application.

Abstract: Expanded encoding may be implemented to enhance regular expression filter capabilities. Two or more adjacent characters in a stream of characters to be processed by a regular expression filter may be recognized and replaced with a symbol. The symbol may be used instead of the two or more adjacent characters for processing through non-deterministic finite automaton (NFA) states. The output of the NFA states may indicate whether a match for a regular expression is present in the stream of characters.

Abstract: Systems and methods are described that include generating a repository of metadata based on a plurality of webpages accessed and saved in a browser history of a web browser executing on a computing device, generating, based on the metadata, a history cluster including a portion of the plurality of webpages related to a topic where the history cluster generation is based on the source events and the access timestamps of the webpages in the portion, and assigning respective scores for the webpages in the portion. In response to a request to view browser activity associated with the topic, the systems and method may generate and display a history cluster listing for the topic where the history cluster listing includes visit listings associated with the webpages in the history cluster that are determined to have a score that meets a threshold score.

Abstract: An email message delivery system is described that provides a fast and reliable managed email delivery service using MTAs and proxy servers. An email message is selected by an MTA for processing. The MTA determines a sender and an intended recipient associated with the email message. The MTA then identifies a pool of usable source internet protocol addresses for the email message based on the sender and selects a particular source IP address from the pool. The MTA then identifies a particular proxy server that is configured to handle the selected particular source IP address and communicates to the particular proxy server, information including the particular source IP address and the destination IP address. The MTA then transmits the email message to the destination IP address using a connection established by the proxy server between the particular source IP address and the destination IP address.

Abstract: A device, system and method for providing descriptions to communication devices using machine learning generated templates is provided. A device replaces given word types in provided text files with corresponding tags to generate corresponding intermediate templates, the provided text files associated with a given topic. The device generates, for the given topic, one or more textual templates that include at least a portion of the corresponding tags, the textual templates in natural language sentences, the generating of the textual templates at least partially based on the corresponding intermediate templates. The device populate the corresponding tags in a textual template, of the textual templates, with corresponding words of a given data file associated with the given topic, to generate a respective description of a given item associated with the given topic, the given data file being specific to the given item.

Abstract: Aspects of the disclosure relate to controlling access to secure information resources using rotational datasets and dynamically configurable data containers. A computing platform may receive, from a first reader-writer system, a first data access request. Based on receiving the first data access request, the computing platform may authenticate the first reader-writer system using a first data container object. After authenticating the first reader-writer system, the computing platform may rotate a first data track comprising a plurality of datasets to align a first dataset of the plurality of datasets with the first data container object. After rotating the first data track, the computing platform may retrieve first information from the first dataset using the first data container object. Subsequently, the computing platform may send, to the first reader-writer system, the first information retrieved from the first dataset using the first data container object.

Abstract: An aspect of the present disclosure facilitates resolving tickets in a multi-tenant environment. In one embodiment, a server receives a ticket for a tenant from a ticketing system and then determines a gross job representing a class of jobs suitable for resolution of the received ticket. The server then identifies a set of values for a set of system parameters characterizing the computing resources serving the tenant. The server selects a target job based on the combination of the determined gross job and the set of values for the set of system parameters. The selected target job is then executed to cause resolution of the ticket for the tenant. According to another aspect, the server performs the above noted actions automatically without manual intervention, in response to adding of the ticket into the ticketing system.

Abstract: An information processing apparatus includes a control section that performs control to display a facility display map including plural display elements indicating plural facilities in a conversation screen displaying a conversation between a system and an operator, and a processing section that, in response to an operation by the operator to select one display element from among the plurality of display elements on the facility display map, performs processing for reserving a facility indicated by the one display element.

Abstract: Embodiments as disclosed may provide a search operator that addresses the problem of query construction for finding objects that include some number (N) of a set of terms (M). Moreover, embodiments as disclosed herein may efficiently implement the searches specified by such subset operators using a subset process that combines results from a set of term processes where only one term process may be needed for each search term (or search term variant).

Abstract: The present invention relates to a trustworthy search method for a search engine based on a knowledge graph, which includes: acquiring a search keyword input by a user to construct a keyword pool; selecting a keyword according to a keyword selection policy, and respectively inputting the keyword to a search engine in sequence for searching to obtain a result returned by the search engine; constructing a knowledge graph of a Web page in sequence; selecting a specific knowledge mode; matching the knowledge graph with an existing semantics reliable knowledge graph library, and then computing a content support degree of each Web page according to a matching result; sorting the search engine under the same keyword by using a content support degree expectation of the Web page; and completing trustworthy search of the search engine based on the knowledge graph.

Abstract: A method for execution by a query processing system includes receiving a query expression that includes a call to a computing window function. The computing window function is executed in accordance with execution of the query expression against a database. Execution of the query expression includes accessing an ordered set of rows of the database indicated in the call to the computing window function, and applying a recursive definition indicated in the call to the computing window function to each row in the ordered set of rows to generate output for each row in the ordered set of rows. A query resultant for the query expression is generated based on the output for each row in the ordered set of rows.

Abstract: A system collects statistical data for a data page, divides the data page into parts, analyzes the data page and the statistical data, based on compression efficiency of one or more compression methods for each part of each page, to determine a compression method for each part of page, and compresses, based on the analyzing, the parts of the data page.

Abstract: Embodiments of the present invention provide methods, systems, and computer-readable storage medium for providing personalized navigation control items of an application. In an embodiment, a method includes receiving, from a user, at least one identification element of the user on a page of the application via a mobile computing device. The method includes transmitting, to a financial institution system, the user's identification element. Upon authenticating the user by the financial institution system, the method further includes receiving, at the mobile computing device, information related to personalization of navigation control items associated with a plurality of service sections of the application. The personalization of the navigation control items are generated by applying business rules to user data by the financial institution system. The navigation control items that personalized for the user's convenience and need are displayed on a page of the application on the mobile computing device.

Abstract: In one implementation, a method is provided that receives multiple potential listings associated with an entity. A listing is selected from the multiple listings and is designated as a representative listing of the entity. A first request is transmitted to synchronize the representative listing with the entity. Responsive to receiving an indication that a synchronization of the first listing and a web address corresponding with the entity is complete, transmitting to the provider system using an application programming interface, a second request to suppress a second listing of the plurality of potential listings as a duplicate listing. A communication is received from the provider system via the application programming interface that confirms that the second request to suppress the second listing from a search result generated by the provider system is accepted.

Abstract: A system and method for associating a document with a concept are provided. One or more idea-electronic document associations is identified, wherein each idea-electronic document association is based on a user performance criteria relative to the electronic document and the idea. At least one of the one or more electronic documents is identified with a concept based on the one or more idea-electronic document associations, wherein the concept is related to the one or more ideas.

Abstract: An electronic device including a deep memory model includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to receive input data to the deep memory model. The at least one processor is also configured to extract a history state of an external memory coupled to the deep memory model based on the input data. The at least one processor is further configured to update the history state of the external memory based on the input data. In addition, the at least one processor is configured to output a prediction based on the extracted history state of the external memory.

Abstract: This disclosure describes one or more embodiments of systems, non-transitory computer-readable media, and methods that intelligently and automatically analyze input data and generate visual data stories depicting graphical visualizations from data insights determined from the input data. For example, the disclosed systems automatically extract data insights utilizing an in-depth statistical analysis of dataset groups from data-attribute categories within the input data. Based on the data insights, the disclosed systems can automatically generate exportable visual data stories to visualize the data insights, provide textual or audio-based natural language summaries of the data insights, and animate such data insights in videos. In some embodiments, the disclosed systems generate a visual-data-story graph comprising nodes representing visual data stories and edges representing similarities between the visual data stories.

Abstract: Disclosed are systems and methods for data mining a plurality of records to identify one or more patterns. A list of frequent items is generated using the records of a certain subpopulation in a dataset of the records. By scanning through the dataset, a prefix tree is generated based on the list of frequent items. Each node in the prefix tree includes an accumulator which maintains separate counts of records from the subpopulation matching the respective node and of records from the plurality of records matching the respective node. One or more population-normalized frequent patterns associated with the plurality of records are extracted based on a traversal of the prefix tree.