Abstract: Methods and apparatuses are described for automatically identifying text sections of a document to generate a searchable hierarchical data structure. A computing device receives a document comprising text entities and converts the document from a first format to a second format, including generating metadata associated with text alignment, text position, text spacing, or fonts. The computing device extracts the text blocks, including determining coordinates associated with each text block using the metadata. The computing device determines document sections using the document metadata by identifying strings in the extracted text blocks that indicate a presence of a bullet point in the document, assigns a hierarchical category to each identified document section, and inserts text of each document section into a hierarchical data structure based upon the assigned hierarchical category.

Abstract: The invention relates to a communication system and a method for providing a virtual meeting of a first user (U1, U2, U3, U4) and a second user (U1, U2, U3, U4), comprising a first communication device (12, 14, 16, 18, 24, 26, 28, 32, 34) with a first display device (12a, 14a, 16a, 18a, 24a, 26a, 28a, 32a) associated with the first user (U1, U2, U3, U4), and a second communication device (12, 14, 16, 18, 24, 26, 28, 32, 34) with a second display device (12a, 14a, 16a, 18a, 24a, 26a, 28a, 32a) associated with the second user (U1, U2, U3, U4).

Abstract: A request is received from a user to search a document for at least one search term. The document is analyzed to determine contextual meanings associated with the at least one search term. An ordered set of contexts of the at least one search term is constructed. An option of disambiguation is then prompted to the user to select a context of the ordered set of contexts. Search results are presented to the user associated with the selected context of the at least one search term.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

Abstract: Systems and methods are directed to a computing device for determining homogeneous groups for search queries. The computing device may generate n-grams for each search query and apply word embedding techniques to calculate representative vectors for each search query. The computing device may train a clustering algorithm using the representative vectors. The computing device may generate topic labels for each cluster and associate each search query in a cluster with the topic label for the cluster.

Abstract: Clustering a set of natural language queries NLQs based on a set of significant events retrieved from a corpus stored in a computer system is described. A set of NLQs is used by a search engine for searching a selected corpus to retrieve respective sets of significant events. The set of NLQs is clustered into a plurality of NLQ clusters according to a number of common significant events being returned by the search engine for respective members of an NLQ cluster.

Abstract: A method includes: a first node and a second node in a distributed computing system each creating a respective partial join filter; the first node and the second node each transmitting its respective partial join filter to a third node in the distributed computing system; the third node creating a final join filter by combining the respective partial join filters of the first node and the second node; the third node retrieving target data from a data source of the third node by applying the final join filter to the data source of the third node; and the third node transmitting the retrieved target data to a controlling node in the distributed computing system.

Abstract: A graph query is executed against a graph index that connects actors with objects through edges. A graph ranking model is obtained and results of the graph query are ranked, using the graph ranking model, based upon edge data available from edges in the graph that match the query.

Abstract: Methods, systems and computer program products are provided for cross-media recommendation by store a plurality of taste profiles corresponding to a first domain and a plurality of media item vectors corresponding to a second domain. An evaluation taste profile in the first domain is applied to a plurality of models that have been generated based on relationship among the plurality of taste profiles and the plurality of media item vectors, and obtain a plurality of resulting codes corresponding to at least one of the plurality of media item vectors in the second domain.

Abstract: Data migration of large volumes can require large memory requirements and knowledge of complicated data migration tools. In one example, a data migration application may be initiated and a data volume may be identified to migrate from a source database to a destination database. The process may include deleting data currently stored in a staging table of the destination database, and transmitting the data volume from the source database to the staging table stored in the destination database.

Abstract: An input method, an input device, and an apparatus for input are provided in the embodiments of the present application. The method specifically includes: receiving an input string having a fast input intent, wherein the fast input intent is used to indicate, according to a shorthand information of a word or a phrase corresponding to the input string, the word or the phrase; obtaining word candidates and/or phrase candidates corresponding to the input string according to a language model, wherein the word candidates and the phrase candidates are respectively complete words and complete phrases corresponding to the input string; presenting word candidates and/or phrase candidates to a user. The embodiments of the present application can not only improve the flexibility and application range of the fast input, but also improve the quality of word candidates and/or phrase candidates, thereby improving input efficiency.

Abstract: Data replication groups may be used to store data in a distributed computing environment. The data replication groups may include a set of nodes executing a consensus protocol to maintain data durably. The nodes of the data replication groups may generate logs containing information corresponding committed operations performed by the nodes. These logs may be collected and processed to obtain useful information corresponding to the operation of the data replication group. Furthermore, this processed information may be provided in the form of a stream to enable event driven operations corresponding to the logs.

Abstract: To increase the applicability of group-by placement (GBP) transformations, according to embodiments described herein, database objects referred to in the aggregate function expression of a query are analyzed to determine whether any of these database objects are referred to exclusively within a condition check portion of the aggregate function expression. Such database objects may be dealt with differently (i.e., with respect to inclusion in GBP views) than the rest of the database objects referred to in aggregate function expressions of the query. This distinction between (a) aggregation-condition database objects exclusively found in condition check portions of an aggregate function expression and (b) aggregation-source database objects within an aggregate function expression allows application of GBP transformation to a wider variety of queries and also increases the possible GBP states that can be costed for GBP transformation-eligible queries.

Abstract: According to one embodiment, a dialogue apparatus includes a processing circuit. The processing circuit designates one database from among a plurality of databases. The processing circuit extracts a keyword from text information. The processing circuit searches the designated database and another database which is included in the plurality of databases and which is other than the designated database, by using the keyword. The processing circuit generates a response in accordance with a first number of hit items, which is a number of data items matching the keyword in the designated database, and a second number of hit items, which is a number of data items matching the keyword in said another database.

Abstract: The subject matter described in this disclosure can be embodied in methods and systems for receiving, by a computing system, a request to normalize an input Uniform Resource Locator (URL). The computing system identifies a user account to which the request to normalize the input URL relates. The computing system determines a selected set of URL normalization rules that are identified as being activated for the user account from among a larger collection of URL normalization rules. The computing system normalizes the input URL using the selected set of URL normalization rules to generate a normalized URL. The computing system stores information that results from an analysis of the input URL in association with an indication of the normalized URL.

Abstract: A system and method of operation of an augmented reality system includes: a position sensor (140) for calculating a current location (144); an orientation sensor (142), coupled to the position sensor (140), for calculating a current orientation (146); and a control mechanism (118), coupled to the position sensor (140), for presenting a system object (126) based on the current location (144), the current orientation (146), an object location (128), an object orientation (130), an access right (120), a visibility (134), and a persistence (136).

Abstract: An audio record management method includes linking an app dedicated for audio record management installed in a first device and a website dedicated for audio record management connected to a second device; displaying an audio file being recorded or being played back in the app on a file list on the website through linkage between the app and the website; and providing a memo creation screen for the audio file on the website in response to a selection of the audio file from the file list.

Abstract: Disclosed is a method and system, the method including extracting similar and dissimilar document pair sets from a document database, the similar document pair set including similar document pairs having a common attribute, and the dissimilar document pair set including dissimilar document pairs extracted randomly, calculating a mathematical similarity for each of the similar and dissimilar document pairs using a mathematical measure to obtain a first and second mathematical similarities, calculating a semantic similarity for each of the similar and dissimilar document pairs to obtain a first and second semantic similarities, the first semantic similarities being higher than the first mathematical similarities, and the second semantic similarities being lower than the second mathematical similarities, training a similarity model based on the similar and dissimilar document pairs, and the first and second semantic similarities to obtain a trained similarity model, and detecting a duplicate document using the t

Abstract: A keyword extraction method includes: extracting candidate words from an original document to form a first word set; acquiring a first association degree between each first word thereof and the original document, and determining a second word set according to the first association degree; for each second word in the second word set, inquiring, in a word association topology, at least one node word satisfying a condition of association with the second word and forming a third word set, the word association topology indicating an association relation among multiple node words in a predetermined field; and determining a union set of the second and third word sets, acquiring a second association degree between each candidate keyword in the union set and the original document, and selecting, according to the second association degree, at least one candidate keyword from the union set, to form a keyword set of the original document.

Abstract: A computerized method of managing a robotic telemarketing call includes calling, by an automated robotic telemarketing system, a customer selected from a customer list. The method includes parsing, by a real-time speech recognition module of the automated robotic telemarketing system, a customer statement received from the customer. The method includes determining, by a language intention determining module, a customer purchase intention according to the parsed customer statement. The method includes selecting a sales pitch response corresponding to the determined customer purchase intention. The method includes providing an audio signal including the selected sales pitch response to the customer.

Abstract: A method includes receiving a search query including clause text to be searched and executing the search query against the database. The method includes receiving a set of results, the set of results including documents that include a version of the clause text, and normalizing the set of search results. The method includes grouping the normalized set of search results into one or more groups of results, each group including documents containing a version of the clause text that is semantically equivalent to each other document in the group. The method includes receiving an indication of a selection of a particular group from among the one or more groups of results and causing display of at least a portion of the particular version of the clause text.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing the limited client device data to categorized historical data, determining one or more closest matches between the limited client device data and the categorized historical data, selecting, on the client device, content of interest from the one or more closest matches, and incorporating the content of interest into the categorized historical data. Each fact includes an entity, an observation, and an object.

Abstract: A computer system comprises one or more processors, a primary database system, and a secondary database system. The secondary database system is configured as a hot-standby system for the primary database system. The secondary database system is capable of providing at least a minimum amount of essential functionality of the primary database system during a disruption to the primary database system. The primary database system is configured by programming instructions, executable on the computer system, to cause the one or more processors to determine from a query request from a client application directed to the primary database system that workload from a query may be shifted to the secondary database system and selectively instruct the client application to direct the secondary database system to execute the query based on a per-table calculated result lag. Related apparatus, systems, techniques and articles are also described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a packetized message that is generated by signaling of a tag that is included in code of a given online resource and includes an identifier corresponding to a user that is accessing the given online resource, logging a timestamp as a start of a user session at a web site that includes the given online resource, determining that the user session remains active while additional packetized messages continue to be received, determining that the user session at the web site has ended, calculating a duration of the user session based on a difference between the timestamp and a time when the user session at the website was determined to have ended, and modifying distribution of content to the user based on the duration of the user session at the website.

Abstract: A dialogue management system applies hierarchical classifiers and other natural language processing to dialogue input, and determines whether performance of an action is likely to occur. The dialogue management system may process dialogue input to assess a dialogue participant's current position in various hierarchies or other classification schemes associated with performance of a desired action. The system may then present results of the assessment to another dialogue participant or provide the results to another system. In some embodiments, the dialogue management system may automatically generate responses or questions designed to engage a dialogue participant and cause the participant to progress through the levels of a hierarchy toward performance of a desired action.

Abstract: A database-management system provides sargable evaluation for query predicates that compare an “LHS” encrypted database-column operand to an “RHS” expression operand. The system directly compares the two operands if all their attributes match. If the operands are encrypted string-type values differing only in length, the system truncates the RHS or pads it with encrypted blanks and, if a truncation loses meaningful data, evaluates the predicate as never satisfying an equality condition. In all other cases, if all attributes of a plaintext RHS don't match those of the plaintext data encoded into the LHS column, the system attempts to cast the RHS to match the plaintext LHS data. An error condition or data loss at this step allows the system to sargably evaluate the predicate without further analysis, but if the casting is successful and error-free, the system encrypts the resulting RHS and performs a sargable predicate evaluation.

Abstract: A method, apparatus, and system for join operations of a plurality of relations that are distributed over a plurality of storage locations over a network of computing components.

Abstract: Systems and methods for Optical Character Recognition (“OCR”) based anti-spoofing for Unicode homograph. The method comprises: performing operations by a computing device to make an OCR identification on an original electronic address so as to obtain an OCR electronic address; encoding (a) the original electronic address to obtain an encoded access address and (b) the OCR electronic address to obtain an encoded OCR electronic address; comparing the encoded access address to the encoded OCR electronic address; and determining if a Unicode homograph spoofing situation exists based on results of the comparing.

Abstract: Embodiments relate to systems, devices, computer-readable media, and computer-implemented methods for generating domain name suggestions by receiving an input string via a user interface, determining an alternative of the input string, determining affixes of the input string, determining top level domains associated with the input string, determining registration availability of domain names including one-step string sequences from the input string based on the alternative input string, the affixes of the input string, and the top level domains associated with the input string, and generating a display for the user interface, where the display includes: the input string, the alternative of the input string, the affixes of the input string, and the top level domains associated with the input string; and indications of the registration availability of the domains names including the one-step string sequences.

Abstract: In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems to for generating a chatbot that facilities discussion. Embodiments of the present invention, can be used to receive user input comprising user generated text and rate the received user input based on characteristics identified in the received user input. Embodiments of the present invention can further determine a thinking pattern based on the rated user input. Embodiments of the present invention can further generate a chat bot interface that facilitates ideation based on the determined thinking pattern.

Abstract: A feature extraction unit extracts, from an advertising request to view an online advertisement, client information on a client as a transmission source of the advertising request and publisher information on a website of a publisher who displays advertising, and calculates a predetermined feature amount using the client information and the publisher information with respect to a plurality of advertising requests including at least a benign advertising request, and a determiner generation unit generates a determiner that determines whether an advertising request is malignant or not by using the calculated feature amount.

Abstract: In general, embodiments of the technology relate to a method for serv1cmg requests. The method includes receiving a search request from a client, determining a main path and a conditional subpath associated with the search request, determining a subpath index associated with the main path and the conditional subpath, obtaining, using at least a portion of the search request, a set of subpath index entries from the subpath index, wherein each of the subpath index entries specifies a facet subpath and content associated with the facet subpath, generating a final result using at least a portion of the contents in the set of subpath index entries, and providing the final result to the client.

Abstract: A method includes computing multiple term distances between pairs of multiple first string terms in a first string and multiple second string terms in a second string, generating a cost matrix based on the term distances, and selecting a set of candidate alignments based on the cost matrix. The method further includes generating multiple alignment scores for the set of candidate alignments, and selecting, from the set of candidate alignments, an alignment between the first string and the second string based on the alignment scores. The method further includes outputting a match identifier based on the alignment.

Abstract: A system for querying a graph model and methods for making and using same. An initial vertex set can be received for one or more query blocks. The one or more query blocks can be executed to generate respective output vertex sets. The output vertex sets and the initial vertex set can be enabled to interconnect in a vertex-set-flow graph based on the query blocks. The vertex-set-flow graph can have a Directed Acyclic Graph shape. A selected query block can generate an output vertex set based on an input vertex set with or without traversal over an edge. A selected query block can calculate a runtime attribute. Edges and/or vertices of the graph model can be updated during querying. A selected block can call a graph query as a generic function. Functions for querying the graph model are powerful and can advantageously meet various graph query needs.

Abstract: An analyzing apparatus according to an embodiment includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: calculate a first similarity between a first word representing a category and a second word; apply, to one or more template sentences, each of one or more second words having the first similarity higher than a first threshold; analyze the one or more template sentences each including the second word and classify the second word into one or more first categories; and display, for each of the first categories, the second word used in the classification into the first categories on a display device.

Abstract: Systems and methods for management of an account switch are disclosed. An account switch management system may include one or more memory devices storing software instructions, and one or more processors configured to execute the software instructions to receive a list of transaction entries to be switched from a first account to a second account and account information associated with the first account and the second account. The one or more processors may also determine a recommendation relating to a customer action based on the transaction entries and the account information. The one or more processors may provide the list of transaction entries and account information and the recommendation to the client device. The one or more processors may also receive a request from the client device to complete an action and transmit a notification to a processing device to complete the action.

Abstract: A system and method for determining sentiment of natural language text content in a domain independent manner is provided. The method comprises providing an adjective-polarity database having stored therein a list of adjectives and corresponding polarity values. The method further comprises receiving natural language text content related to a first domain with information about corresponding sentiment. The method further comprises identifying nouns and adjectives in the received tagged natural language text content. The method further comprises associating the polarity value to each of the adjectives identified in the received tagged natural language text content. The method further comprises masking the identified nouns and adjectives in the received tagged natural language text content with part-of-speech tags. The method further comprises utilizing the masked natural language text content for training of a model for determining a sentiment score for natural language text content related to a second domain.

Abstract: A graph query is executed against a graph index that connects actors with objects through edges. A graph ranking model is obtained and results of the graph query are ranked, using the graph ranking model, based upon edge data available from edges in the graph that match the query.

Abstract: An analysis system connects to a set of data sources and perform natural language questions based on the data sources. The analysis system connects with the data sources and retrieves metadata describing data assets stored in each data source. The analysis system generates an execution plan for the natural language question. The analysis system finds data assets that match the received question based on the metadata. The analysis system ranks the data assets and presents the ranked data assets to users for allowing users to modify the execution plan. The analysis system may use execution plans of previously stored questions for executing new questions. The analysis system supports selective preprocessing of data to increase the data quality.

Abstract: Atomic partition scheme updates to partition items may be implemented by a time series database. A time threshold may be assigned to partition scheme update so that the time threshold may be applied across a set of ingestion nodes that may apply the partition scheme update the same. A request to store an item with a timestamp less than the time threshold may be stored in one partition of the time series database, while the item may be stored in a different partition of the time series database if the item has timestamp greater than or equal to the time threshold.

Abstract: A label assignment model generation device extracts a plurality of feature amounts for a word from a document as an extraction source, and generates, based on an appearance frequency of each of the extracted feature amounts, a label assignment model that is a machine learning model and assigns a label to a word included in a document as an assignment target. The label assignment model generation device adjusts a degree of influence of the feature amount on the label assignment model based on a deviation of the appearance frequency of each of the plurality of feature amounts. The label assignment model generation device extracts a plurality of feature amounts for a word from a remaining document excluding a predetermined document from a plurality of documents as extraction sources, and generates the label assignment model based on the appearance frequency of the extracted feature amounts.

Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.

Abstract: The present disclosure relates to a method and an apparatus for classifying data points using convex hulls based on centroids of clusters, and a method for classifying data points according to one embodiment of the present disclosure comprises clustering data points into a plurality of clusters; constructing a hyperplane by using a set of centroids of singular clusters having a single class label from the plurality of clusters and removing singular clusters whose centroids are not used to construct the hyperplane; generating a convex hull for a singular cluster used to construct the hyperplane; removing internal data points except for the vertices of the generated convex hull from the singular cluster whose centroid is used to construct the hyperplane; and classifying a set of remaining data points except for the removed internal data points among the plurality of clusters.

Abstract: As a data science project goes into the production stage, model maintenance to maintain model quality and predictive accuracy becomes a concern. Manual model maintenance by data scientists can become a time- and labor-intensive process, especially for large scale data science projects. An early warning system addresses this by performing systematic statistical and algorithmic checks for prediction accuracy, stability, and model assumption validity. A diagnostic report is generated that helps data scientists to assess the health of the model and identify sources of error as needed. Well-performing models can be automatically deployed without further human intervention while poor performing models trigger a warning or alert to the data scientists for further investigation and may be removed from production until the performance issues are addressed.

Abstract: A system for creating an output comprises a processing unit, a user input module operably connected to the processing unit, and a display operably connected to the processing unit. The processing unit provides on the display: a grid image comprising multiple cells, each cell representing a duration of time; and a selection area comprising multiple select icons, each select icon representing a source data file. The processing unit is configured such that a user can create a grid layout representing the correlation between individual selected source data files and one, two, or more of the multiple cells. The processing unit produces the output based on the correlation.

Abstract: The current document is directed to methods and subsystems within computing systems, including distributed computing systems that efficiently store metric data by approximating a sequence of time-associated data values with one or more linear functions. In a described implementation, a running variability metric is used to control variation within the metric data with respect to the approximating linear functions, with a variation threshold employed to maximize the number of data points represented by a given linear function while ensuring that the variation of the data with respect to the given linear function does not exceed a threshold value. In one implementation, the metric data occurs within a graph-like configuration-management-database representation of the current state of a computer system.

Abstract: Embodiment of the present disclosure include an apparatus and method for executing a query, and a system for processing data by using the same. In some embodiments an apparatus for executing a query includes a processor receiving a query and returning a result value. The apparatus may further comprise a storage storing data on the query. The storage of the apparatus may include a first storage temporarily storing data required for the execution of the query. The storage may further include second storage constructing a DB and storing data, wherein the processor combines a plurality of primitives in the query to configure a composite primitive, generates a binary code for the composite primitive in run time, and executes a generated code.

Abstract: Systems and methods are described for determining job classifications of anonymous users. Energy Infrastructure (EI) information associated with a known EI facility and anonymized location tracking data is obtained. The EI facility information includes a location of the known EI facility and an identification of the known EI facility, and the anonymized location tracking data includes visited locations associated with an anonymous user ID. A job classification is associated with the anonymous user ID based on a correlation between the visited locations, the location of the known EI facility, and the identification of the known EI facility. Location tracking data associated with a user of a known job classification can be used to identify a previously unknown EI facility.

Abstract: An apparatus includes a processing device configured to obtain data records associated with an enterprise system comprising strings associated with an attribute. The processing device is also configured to generate a similarity matrix with entries comprising values characterizing similarity between respective pairs of the strings. The processing device is further configured to apply a thresholding filter to values in the entries of the similarity matrix to create an adjacency matrix, and to construct a graph network of the data records based at least in part on the adjacency matrix, wherein the graph network comprises edges connecting pairs of the data records. The processing device is further configured to perform a clustering operation on the graph network to identify clusters of the data records for the attribute, and to initiate remedial action in the enterprise system responsive to identifying a given cluster comprising a given subset of the data records.