Abstract: A novel technique for matching, merging, and combining a new database record with a master database record is described herein. The technique uses specific fields to compare in a unique exact match and fuzzy match combination to determine if a non-exact matching record pair is indeed a matched pair. Once the match is established, the records are merged or combined to utilize the best information from the two records.

Abstract: An example method of determining geolocations of composite entities based on information retrieved from heterogeneous data sources comprises: identifying, by a computer system, an association of a first object and a second object with a composite object; receiving, from a first data source associated with the first object by an ontology, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the first object; receiving, from a second data source associated with the second object by the ontology, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the second object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the composite object and a corresponding time identifier.

Abstract: Provided are a blockchain data processing method and apparatus, a device, and a readable storage medium. By storing a data type information table in a relational database in advance, the data type information table is used for storing storage information of all the data types, and the storage information includes a table corresponding to the data type, a mapping relationship between the service field of the Value of the data type and a table field in the corresponding table, and a data format of the Value of the data type. A data type of the Value is determined when the Key-Value data needs to be stored; and a target table corresponding to the data type of the Value is determined and the Key-Value data is written into the target table according to the data type information table.

Abstract: An analytics module included in a processing system receives performance feedback related to a broadcast media item. The performance feedback includes metadata associated with the feedback. Based on the metadata, the analytics module distinguishes between first performance feedback provided by automated programs and second performance feedback provided by valid users. The second performance feedback is transmitted to a media proposal server, but the first performance feedback is not. The media proposal server determines, based on the second performance feedback, that the broadcast media item is to be replaced by a replacement broadcast media item.

Abstract: Systems and techniques are provided for query tree labeling and processing. A query may be received. A query tree may be generated from the query and identifiers may be generated for nodes of the query tree and stored in the nodes. Labels may be stored in nodes determined to meet at least one criteria for being labeled nodes to generate a labeled query tree. The nodes of the labeled query tree may be processed by receiving results from an entry in a results data structure and returning the results from the entry as the results for the node if the identifier of the nodes matches the identifier of an entry in the results data structure. If there is no match, results may be computed for the node. The results generated by computing the node may be stored in the results data structure if the node has a label.

Abstract: A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.

Abstract: A system and method for determining a level of empathy of an employment candidate is provided. One aspect includes receiving video input, audio input, and behavioral data input of an interview for each of a plurality of candidates. Behavioral data is extracted from the behavioral data input. An audiovisual interview file is saved in a candidate database. In response to receiving a request to view a candidate profile, the system selects one candidate from among a plurality of candidates, the selecting based at least in part on the empathy score of the selected candidate. In another aspect, a candidate can answer multiple questions during a video interview. The behavioral data extracted from a first portion of the video interview can be compared to behavioral data from a second portion of the video interview.

Abstract: A structural analysis system analyzes the pages of a web site, including the content of the pages and their relationships to each other. Based on the analysis, the structural analysis system additionally modifies (or suggests modification of) the web pages of the web site, such as by altering the inter-page linking structure of the web site. This improves the structure of the web site, leading search engines to be able to more quickly find and index its pages, as well as increasing the expected ranking that a search engine would provide to pages of the web site within the set of search results provided by the search engine in response to a user query.

Abstract: An artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof are provided. A method of providing, by a device, a voice assistance service includes obtaining a voice input of a user, receiving certain context information from at least one peripheral device, generating first query information from the received context information and the voice input, generating second query information including noise information by inputting the first query information into a noise learning model, transmitting the generated second query information to a server, receiving, from the server, response information obtained based on the transmitted second query information, generating a response message by removing response information corresponding to the noise information from the received response information, and outputting the response message.

Abstract: A platform-as-a-service infrastructure and application lifecycle manager is configured to implement a common services model to deploy selected services from a common set of services to service domains hosted on multiple different cloud platforms by abstracting dependence on availability of various additional supporting services, such as services that are platform-specific. The platform-as-a-service infrastructure and application lifecycle manager may also manage a lifecycle of available services, such as managing upgrades and/or patches to services.

Abstract: A system and method are presented that utilize facet modifications to alter user input values to perform a facet search on a found set of data records. The facet modifications are associated with item records, such as by using type attributes. Facet modifications can be associated with query information that is utilized to create a query on a user interface. Input received from the query is then modified according to the facet modifier in order to create facet search parameters. The facet search parameters are used to perform a facet search to narrow the found set of item records. In some embodiments, facet modifications are stored in facet modifier records. Multiple facet modifications can be stored in a single facet modifier record. A single query input can be manipulated by multiple facet modifications to create separate facet search parameters.

Abstract: Embodiments of the present disclosure include systems and methods for determining position values for training data that is used to train transformer models. In some embodiments, a set of input data for training a transformer model is received. The set of input data comprises a set of tokens. Based on an offset value, a set of successive position values for the set of tokens is determined. Each position value in the set of successive position values represents a position of a token in the set of tokens relative to other tokens in the set of tokens. A set of training data is generated to comprise the set of tokens and the set of successive position values. The transformer model is trained using the set of training data.

Abstract: This application relates to apparatus and methods for applying trained machine learning models to determine an item's relevance to a search query. In some examples, a query and data identifying a plurality of items are received. Item attributes for each of the plurality of items are obtained, and features are generated based on the item attributes. Further, a score is generated for each item by applying a trained machine learning model to the corresponding features and the query. Matching attributes are determined for each of the plurality of items based on the corresponding item attributes and the query, and the score of each of the plurality of items is adjusted based on the matching attributes. Further, the ranking data is generated based on the adjusted score of each of the plurality of items. The ranking data may be transmitted to a web server for display of the items.

Abstract: According to one embodiment, an information processing apparatus includes a processor. The processor is configured to receive, from a client terminal, a first query to request a result of a join operation process on first and second tables, create a second query to a first database management device based on the first query, receive the first table from the first database management device by performing a process on the second query, create a third query to a second database management device based on the first query and the first table, receive a part of a second table from the second database management device by performing a process on the third query, and transmit, to the client terminal, a response to the first query based on the part of the second table.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: An intelligent labeling method is disclosed herein. The method can receive a plurality of input instances and access a knowledge graph comprising a plurality of nodes and a plurality of edges connecting the plurality of nodes. The plurality of nodes represent objects and the edges represent relationship between the objects. For at least some selected input instances, the method can identify respective matching objects represented by corresponding nodes of the knowledge graph. A selected input instance shares a common label with the corresponding matching object. For identified matching objects, the method can identify a common class object represented by a corresponding node of the knowledge graph. A percentage of identified matching objects are descendants of the common class object, and the percentage is greater than a predefined threshold. The method can associate a label of the common class object with the plurality of input instances.

Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: Methods and an apparatus are provided for associating video content to keywords present on the webpage of a user computer. Furthermore, the method includes creating a link on the webpage from the keyword which displays the video file when the link is activated. In addition, a system for video content association includes a video association controller configured to receive a request for video content association when a webpage is requested by a user computer and determine whether the webpage contains at least one keyword. Furthermore, the video association controller is configured to display a link on the webpage from at least one keyword to a video file.

Abstract: Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.

Abstract: The invention relates to a search term recommendation method and system based on a multi-branch tree. The method comprise that steps that: A, a multi-branch tree term chain data generation process: splitting each hot term into a plurality of independent words, generating a term chain according to the sequence of the words from first to last in the hot term, each word is a node in the term chain, and nodes corresponding to the same word in different term chains are used as public nodes to generate multi-branch tree term chain data; B, a search term recommendation process: searching multi-branch tree term chain data accord to that currently input terms, taking a term chain that matches the inputted words as a recommended term.

Abstract: Systems and techniques for identifying performance issues and recommending actions during design-time application development include receiving a design-time user interface (UI) having multiple fields associated with data from a database, where the multiple fields including one or more types of fields. In response to receiving a trigger, the systems and techniques iterate through the multiple fields in the design-time UI by applying one or more rules related to the types of fields and cardinality of the data from the database. One or more recommendations are generated for one or more of the fields based on the applied rules to the multiple fields and the recommendations are output to a display. The systems and techniques may include changing the design-time UI without user input using the recommendations.

Abstract: Disclosed are computer-implemented methods for ranking importance of assets of an entity, in which the assets can include hosts and/or IP addresses associated with the entity. The exemplary methods can include receiving datasets from one or more sources indicating frequency of system access, system configuration, and/or application configuration. The methods can include determining one or more input data based on the datasets. The methods can include determining, for each host and/or IP address associated with the entity, an importance ranking based on the input data. In some examples, the importance ranking may be based on a weighting of two or more input data.

Abstract: The present disclosure includes methods and systems for generating digital predictive models by progressively sampling a repository of data samples. In particular, one or more embodiments of the disclosed systems and methods identify initial attributes for predicting a target attribute and utilize the initial attributes to identify a coarse sample set. Moreover, the disclosed systems and methods can utilize the coarse sample set to identify focused attributes pertinent to predicting the target attribute. Utilizing the focused attributes, the disclosed systems and methods can identify refined data samples and utilize the refined data samples to identify final attributes and generate a digital predictive model.

Abstract: Working set ratio estimations of data items in a sliding time window are determined to dynamically allocate storage for the data items. A working set ratio may be determined by accessing a fixed-size array that stores respective timestamps of last accesses of data items to determine which data items are useful to determine an estimate of a working set for the application within a range of time. The working set ratio is then determined from an estimated working set and an amount of computing resources allocated to the application by the estimated working set. The amount of the computing resources allocated to the application may then be automatically scaled according to the determine working set ratio.

Abstract: An embodiment for identifying and processing poly-process natural language queries may include receiving a natural language query. The embodiment may also automatically identify a bridge entity in the received natural language query. The embodiment may also automatically determine whether the received natural language query is a poly-process query. The embodiment may further include, in response to identifying that the received natural language query is the poly-process query, automatically generating sub-queries for each process in the poly-process query and generate results for each sub-query. The embodiment may also automatically combining the results of each sub-query using the bridge entity to output a combined result. The embodiment may further include automatically generating a modified sub-query for post-processing of the combined result. The embodiment may also automatically process the modified sub-query to generate a final query result for the received natural language query.

Abstract: Techniques are provided for operational situation vehicle control, and include determining action and context data for one or more vehicle operations in one or more operational situations, training vehicle control rules for those operational situations, and using those vehicle control rules to control vehicles in compatible operational situations.

Abstract: One embodiment provides a method comprising generating a first graphical user interface (GUI) for display on an electronic device. The first GUI comprises data indicative of at least one professional service available for selection. The method comprises receiving, from the electronic device, a request to initiate a professional service selected from the first GUI. The method further comprises generating a second GUI for display on the electronic device. The second GUI comprises a customized questionnaire for collecting information relevant to the professional service selected. The method further comprises receiving, from the electronic device, user responses to the customized questionnaire, and initiating an analysis of the user responses. A communication indicative of the analysis is forwarded to the electronic device.

Abstract: Aspects of the present disclosure relate to performing agnostic data integrity checks on source data, and based on the data integrity checks, generating a human-readable report that may be useable to identify specific errors or anomalies within the source data. Example embodiments involve systems and methods for performing the data integrity checks and generating the human-readable reports. For example, the method may include operations to ingest data from a source database through a data pipeline and into a local database, access the data from the data pipeline, determine a data type of the data, determine subtypes of data elements which make up the data, determine a count of each subtype, and generate a human-readable report, to be displayed at a client device.

Abstract: This disclosure provides a computer-implemented method, a computer system and a computer program product for database compression oriented to combinations of fields of a database record. One or more combinations of fields of a record of a database are determined that satisfy a frequency criterion indicating that access frequencies of the one or more combinations of fields are higher than an access frequency threshold. The record is reorganized based on the one or more combinations of fields to store fields of each combination of the one or more combinations of fields in a respective contiguous storage space. The reorganized record is compressed by applying a compression scheme to the one or more combinations of fields.

Abstract: A query processing device includes a communication interface accessing a database and database catalog, a memory storing instructions, and a processor coupled to the memory and the communication interface. The processor executes the instructions to parse a query and generate first and second execution plans for the query, retrieve respective previously determined cardinality values for previously executed logical steps of the first and second execution plans from the database catalog, select an execution plan from the first execution plan or the second execution plan, the selected execution plan having a lower cost based on the previously determined cardinality values, and execute the selected execution plan on data accessed from the database. The query processing system stores actual cardinality values determined during the execution of the logical steps in the database catalog for use by subsequent queries. The query processing device, therefore, re-uses previously determined cardinality values.

Abstract: With a computerized search engine, retrieve a plurality of electronic documents relevant to a query. Obtaining, via computerized term embedding, from the retrieved documents, a plurality of most similar terms with respect to the query. For each of the most similar terms, determine a pervasiveness score and a relevance score. Filter out, from the most similar terms, those of the terms that are pervasive, based on the pervasiveness score, those of the terms that are irrelevant, based on the relevance score, and those of the terms that are redundant. Output a top number of terms remaining in the most similar terms after the filtering, based on similarity to the query, as discriminative facets.

Abstract: Systems and methods for obfuscating and/or deleting data records are provided. In one implementation, a method for obfuscating data includes a step of receiving a request from a client to obfuscate data records associated with the client. The data records are stored in one or more databases throughout a network. The method also includes searching for one or more occurrences of the data records appearing throughout the network. Upon determining that the data records can be obfuscated without causing undesirable consequences elsewhere in the network, the method includes obfuscating the one or more occurrences of the data records.

Abstract: An embodiment of the present invention is directed to a combination of two deep-learning computer vision models—customized with post-processing—wrapped in a mobile application that is backed by an Application Programming Interface (API) supporting concurrent mobile users to accomplish asset serialization tasks in a warehouse or other storage environment.

Abstract: A facility for identifying multi-word expressions in a natural language sentence is described. The facility provides the sentence to each of multiple natural language processing modules including a first module, a second module, and a third module. Each natural language processing module uses a different approach to identify a multi-word expression and a type of the multi-word expression. Upon determining that the multiple identifiers of the multi-word expression differ, the facility determines the multi-word expression using a resolution process, which can involve a logical rule set or a machine learning model.

Abstract: Disclosed herein are system, method, and computer program product embodiments for rapid identification and access to relevant regulatory documents. A data model relating regulatory mandates and requirements to citations appearing within an enforcement document is used to rapidly access specific citations within an enforcement document. In the case of image-based enforcement documents, the originality of these documents is preserved while allowing a user to see where the relevant citations appear in the document images. The relevant citations are further compared to business policies to identify potential impacts of regulatory mandates and requirements.

Abstract: A method of efficiently extracting large data sets from a database may include receiving a first result set from a first query executed on one or more data sources. The one or more data sources may use a first schema when the first query was executed. The method may also include receiving a second result set from a second query executed on the one or more data sources. The one or more data sources may use a second schema when the second query was executed. The method may further include generating a view that combines the first result set and the second result set. The view may resolve differences between the first schema and the second schema.

Abstract: A system may include a nested probabilistic data structure that contains nested tables, each table having electronic records associated with different hash functions. A data analytics engine may receive information about a detected action, including action characteristics. In response to the detected action, insertions are executed into the nested probabilistic data structure at multiple levels based on the action characteristics (each insertion incrementing an entry in the data structure selected using the hash functions). The engine then continues to monitor for detected actions. Upon receipt of a query associated with the monitored action (including a query type), a key and level of nesting associated with the query is determined based on the query type. The hash functions are executed on the determined key to retrieve a value from each electronic record in an appropriate nested table, and a minimum of the retrieved values is output in response to the query.

Abstract: A method by one or more processing units of a database management system includes determining to transition a collection of data from storage in a set of first temperature storage nodes to storage in a set of second temperature nodes based on one or more criteria associated with the collection of data, where each first temperature storage node of the set of first temperature storage nodes is paired with a corresponding second temperature storage node of the set of second temperature storage nodes to form a set of parallel node pairs. The method further includes transitioning storage of the collection of data in parallel, by each parallel node pair of the set of parallel node pairs, from storage in the set of first temperature storage nodes to storage in the set of second temperature storage nodes.

Abstract: The present disclosure relates to methods and systems for controlling content distribution. The methods and systems receive an original search query and expand the original search query by adding one or more neutral words to create an expanded search query. The methods and systems automatically classify the original search query using the expanded search query in an accurate manner and use the classification to control content distribution.

Abstract: A system includes hardware processors and a non-transitory memory storing instructions that, when executed by the hardware processors, causes the hardware processors to perform actions including receiving an input data set related to digital content, where the input data set includes a plurality of input entries. The actions also include matching one or more input words of each input entry of the plurality of input entries to one or more baseline words of one or more baseline entries of a baseline data set and generating an output data set including a plurality of output entries. Each respective input entry corresponds to a respective output entry of the plurality of output entries, and each respective output entry includes a baseline entry of the one or more baseline entries having a highest probability of matching the respective input entry and additional data associated with the respective input entry.

Abstract: Methods, systems and computer program products for content management systems. A content management system is configured to manage a plurality of content objects. Unsupervised learning is performed over the plurality of content objects to identify document templates associated with content objects taken from the plurality of content objects. When a document template is identified, template metadata is associated with the document template. Additional content objects that are similar to the document template can take on the template metadata. In this way, many documents can be automatically populated with template metadata that corresponds to the identified document template. All or portions of the template metadata can be applied to policies, which policies serve to marshal ongoing document handling operations. During learning, document features are extracted and analyzed so as to define feature clusters, which feature clusters are in turn are used to form document template clusters.

Abstract: A method of classifying an electronic document from an electronic media source includes generating statistical data from one or more training documents and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data. The method further includes classifying the electronic document using the at least one topic model-based classification rule. Example systems for classifying an electronic document from an electronic media source are also disclosed.

Abstract: Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.

Abstract: A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Abstract: An information processing device includes a processor, and the processor is configured to: associate plural participants of each activity set by a user for each specific purpose with the activity; link a storage area of a file management service for which at least one participant has an access right and that is provided by plural service providers to the activity; and cause a display of a participant of a request source to display a first file stored in a linked storage area for which the participant of the request source has an access right, in response to a request for accessing the activity from each participant.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indicating location status. A computing device can receive a query from a user device, a current time, and a location for the user device. The computing device identifies results responsive to the query, including one or more business results that are each associated with a business location and operating hours. The computing device can select a subset of the business results as open results based on the operating hours of the business results, the current time, and travel times from the device location to the respective business locations. Data can be provided for a search engine results page that designates the subset of the business results as open results.

Abstract: Systems and methods for purposeful computing are disclosed that, among other things, include a user purpose class resource information computing environment. Such environment supports resource purpose classes, and further supports resource identification information sets that characterize their respective subject matter resources. The computing environment can be used to identify and evaluate one or more purpose class subject matter resource members.

Abstract: An information collection server obtains relevant information relating to legislation, regulations, or standards (vehicle emissions control) from an external server group and a local server and provides the obtained relevant information to an information processing server. When the information processing server receives the relevant information from the information collection server, it performs conversion processing on each piece of information included in the relevant information in accordance with each piece of information to convert each piece of information into an index relating to a degree of influence on revision of the emissions control. The information processing server provides each resultant index to a prediction creation server. When the prediction creation server receives each resultant index from the information processing server, it predicts a stage of revision of the emissions control based on each index.

Abstract: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.