Abstract: Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.

Abstract: Methods, systems, and media for presenting search results are provided. In accordance with some embodiments, the method comprises: receiving text corresponding to a search query; determining whether a content rating score associated with the search query is below a predetermined threshold, wherein the score is calculated by: identifying a first plurality of search results retrieved using the search query, wherein each search result is associated with one of a plurality of content ratings classes; and calculating the content rating score that is a proportion of search results associated with at least one of the content ratings classes among the first plurality of search results; in response to determining that the content rating score is below the predetermined threshold, identifying a second plurality of search results to be presented based on the search query; and causing the second plurality of search results to be presented.

Abstract: A method is provided for managing event access policies using a user interface. The method includes defining event access policies to be applied to incoming transactions, where each policy identifies a field identifier. The method further includes applying the event access policies to incoming transactions, resulting in the generation of event access records for each policy determined to apply to the incoming transactions. The event access records include field values captured from the transaction and a corresponding group identifier generated for the transaction. Additionally, event blocks are written to an event graph for the incoming transactions, independent of applying the event access policies. Each event block includes a group identifier, content, and a hash for the transaction. The method enables efficient and flexible management of event access policies that facilitate later transaction querying.

Abstract: A method comprising performing, by at least one processor, operations including: sending a query including an identifier for an asset; receiving a data structure for the asset, wherein the data structure includes a determined relationship between the asset and other hardware and software assets; rendering the data structure into a format for display; and displaying the rendered data structure.

Abstract: A method of accessing data from disparate data sources at a data access layer, the method comprising: receiving a request to ingest raw data from a plurality of systems of record; ingesting raw data from the plurality of systems of record based on the received request to ingest raw data; mapping the ingested raw data to a plurality of unpopulated enterprise object models to standardize the ingested raw data and to populate the enterprise object models; storing the standardized data and the plurality of populated enterprise object models; and providing the plurality of populated enterprise object models to the data access layer for accessing the standardized data.

Abstract: Techniques are described for enabling replication-aware resource management and task management in a cloud infrastructure for cross-region replication. In some embodiments, each replication job is associated with a set of replication-related information. In certain embodiments, the replication-aware resource management allocates resources, using a combination of various resource allocation schemes, to a fleet of replicators to allow the fleet to select replication jobs in a job queue, and perform resource scaling based on monitored performance metrics reported by the fleet. In some embodiments, the replication-aware task management enables replication job selection based on the set of replication-related information to optimize the performance of all cross-region replications in the region.

Abstract: A centralized database management system performs data synchronization with lower bandwidth consumption and higher efficiency. The system manages data synchronization and data reconciliation across multiple databases managed by multiple DBMS across different client servers. The system generates and sends instructions that encode each data table into an invertible bloom filter and identifies differences between the two databases by performing a subtraction operation on the two invertible bloom filters. The system may generate a third invertible bloom filter comprising information associated with differences between the two data tables. The system may send instructions to the source and the destination databases, where a first and a second invertible bloom filters are encoded for the source and the destination databases, respectively. The system may decode the third invertible bloom filter, identify the different elements, and generate instructions to the source and/or the destination database.

Abstract: Provided is an electronic apparatus and a method of managing feature information performed by the electronic apparatus, the method including the electronic apparatus receiving a request to store feature information in a database, based on at least some of a feature quantity, attributes of the feature information, a calculation method of the feature information and sources of the feature information, the electronic apparatus storing the feature information in one of a first database in which data for inference of a machine learning model is stored and a second database in which data for training the machine learning model is stored, and the electronic apparatus synchronizing the feature information from one of the first database and the second database in which the feature information is stored to the other database.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support dynamic cross-contextual taxonomy search and interpretation. A multi-layer hierarchical taxonomy may be indicated by metadata that is retrieved based on input search term(s). The multi-layer hierarchical taxonomy may includes a first plurality of nodes that are arranged as parent-child node pairs, and that are grouped into node groups based on common parent nodes. The multi-layer hierarchical taxonomy may be dynamically modified to include a second plurality of nodes that includes duplicates of the parent-child node pairs in which the parent-child relationships are reversed. The nodes may then be regrouped based on common parent nodes, and one or more node groups may be deleted if all the parent-child node pairs are duplicated in another node group. A graphical user interface (GUI) may display a ranked listing of informational elements that correspond to the node groups.

Abstract: An in-memory computing system for conducting on-line transaction processing and on-line analytical processing includes system tables in main memory to store runtime information. A statistics service can access the runtime information using script procedures stored in the main memory to collect monitoring data, generate historical data, and other system performance metrics while maintaining the runtime data and generated data in the main memory.

Abstract: Provided are systems for analyzing a relational database using embedding learning that may include at least one processor programmed or configured to generate one or more entity-relation matrices from a relational database and perform, for each entity-relation matrix of the one or more entity-relation matrices, an embedding learning process on an embedding associated with an entity. When performing the embedding learning process on the embedding associated with the entity, the at least one processor is programmed or configured to generate an updated embedding associated with the entity. Computer-implemented methods and computer program products are also provided.

Abstract: Some techniques relate to projecting aptamer representations into an embedding space and clustering the representations. A cluster-specific binding metric can be defined for each cluster based on aptamer-specific binding metrics of aptamers associated with the cluster. A subset of the clusters can be selected based on the cluster-specific binding metrics. Identifications of aptamers assigned to the subset of clusters can then be output.

Abstract: An information processing system includes: an acquisition unit that obtains a plurality of elements included in series data; a calculation unit that calculates a likelihood ratio indicating a likelihood of a class to which the series data belong, on the basis of at least two consecutive elements of the plurality of elements; a classification unit that classifies the series data into at least one class of a plurality of classes that are classification candidates, on the basis of the likelihood ratio; and a learning unit that performs learning related to calculation of the likelihood ratio, by using a loss function of a log-sum-exp type. According to such an information processing system, it is possible to properly select the class to which the series data belong, from a plurality of classes that are classification candidates.

Abstract: A system for providing tracking data includes a processing component configured to: receive an event dataset including a plurality of entity identifiers, generate a tracking identification based on the entity identifiers, generate a plurality of identification groups based on a subset of entity identifiers, determine a similarity measure between the tracking identification and an identification group of the plurality of identification groups, and assign the tracking identification to one of the identification groups based on the similarity measure.

Abstract: A method for executing a query may include generating a partition value identifier for a partitioned table. The partitioned table may include a main fragment including a main dictionary storing a first value and a main value identifier corresponding to the first value and a delta fragment including a delta dictionary storing a second value and a delta value identifier corresponding to the second value. The partition value identifier may be set based at least in part on the first value and the second value. The generated partition value identifier and a corresponding one of the main value identifier and the delta value identified may be maintained as part of a mapping. A query to group data stored in the partitioned table may be received. The query may be executed by at least using the mapping.

Abstract: A method, apparatus, and computer-readable medium for quantitatively grouping a set of persons into a plurality of groups of three or more persons using computational clustering, the method including storing a set of data objects corresponding to the set of persons, storing a plurality of attributes corresponding to each data object in the set of data objects, generating a plurality of multidimensional objects by encoding each data object in the set of data objects as a multidimensional object based at least in part on two or more attributes corresponding to that data object, each multidimensional object corresponding to a data object in the set of data objects, and generating the plurality of groups of three or more data objects based at least in part on applying a clustering algorithm to the plurality of multidimensional objects.

Abstract: According to one embodiment, a data labeling work support apparatus includes a processor including hardware. The processor acquires a first label assigned to data. The processor acquires the data. The processor extracts a feature of the data. The processor groups the data based on a similarity or a distance of the feature. The processor assigns a second label to the grouped data. The processor calculates a degree of matching between the first label and the second label. The processor outputs information regarding a combination of the first label and the second label having a low degree of matching.

Abstract: Sensorized commercial buildings are a rich target for building a new class of applications that improve operational and energy efficiency of building operations that take into account human activities. Such applications, however, rarely experience widespread adoption due to the lack of a common descriptive schema that would enable porting these applications and systems to different buildings. Our demo presents Brick [4], a uniform schema for representing metadata in buildings. Our schema defines a concrete ontology for sensors, subsystems and relationships among them, which enables portable applications. Using a web application, we will demonstrate real buildings that have been mapped to the Brick schema, and show application queries that extracts relevant metadata from these buildings. The attendees would be able to create example buildings and write their own queries.

Abstract: A method can include, responsive to receipt of input characterizing a geologic environment, utilizing a trained machine learning model to identify a number of geologic environments that include corresponding data stored in at least one database; analyzing one or more of the number of geologic environments; and outputting a result based at least in part on the analyzing.

Abstract: A method for intelligent editing of legal documents is described. The method may include receiving a rule, accessing a plurality of documents, and generating a list of tokens as a function of the rule and the plurality of documents. The method may also include ranking each token of the list of tokens, wherein a ranking of each token is a function of a frequency of occurrence in the plurality of documents, accessing a user inputted legal text, and suggesting one or more alterations to the user inputted legal text as a function of the ranked list of tokens. An apparatus for intelligent editing of legal documents is also described.

Abstract: Methods and systems are disclosed for dynamic interactive graphing of entity attributes. Data is received into a structured interface, the data defining attributes of an entity, and the structured interface defining relationships between the attributes. An interactive graph is generated of the attributes. The attributes are arranged within the interactive graph according to the relationships. The interactive graph is presented using a graphical user interface. The system receives a selection of at least one specified attribute of the attributes and rearranges the interactive graph dynamically in the graphical user interface based on the selection of the at least one specified attribute of the attributes.

Abstract: Embodiments support systems and methods for classifying and ranking headnote reports based on a query, and for outputting a highest ranked headnote in response to the query. In an aspect, headnote scores may be calculated for each headnote of a plurality of headnotes to determine a measure of correspondence between a given headnote and the query. In an aspect, a dataset including at least the query, the headnotes, and the headnote scores may be provided to and analyzed by a classifier to produce a set of classifications. In an aspect, the headnote scores and the set of classifications may be determined by at least one machine learning model. In an aspect, the classifications enable the ranking of the headnotes relative to one another, such that the highest ranked headnote may be the headnote most responsive to the query. In an aspect, a method may include outputting the highest ranked headnote.

Abstract: An embodiment for enhancing dialogue management systems by enriching contextual data using fact fetchers. The embodiment may automatically intercept a received query sent to a dialogue management system. The embodiment may automatically tag language in the received query using a trained classifier and identify applicable associated fact fetchers. The embodiment may automatically utilize the associated fact fetcher to identify additional contextual data. The embodiment may automatically generate an updated dialogue including the additional contextual data. The embodiment may automatically run a trained language model on the updated dialogue to generate a response for the received query.

Abstract: A method for performing differential routing based on message content. The method includes receiving, from a user device, a message inquiry; identifying and extracting one or more keywords from the message inquiry; determining, for each of the one or more keywords, a corresponding tag type; predicting a conversation length based on the determined tag type for each of the one or more keywords; determining whether the message inquiry is amenable to being serviced by an automated service; and routing the message inquiry based on the determining whether the message inquiry is amenable to being serviced by the automated service.

Abstract: Systems and methods for pre-training and fine-tuning of neural-network-based language models to reason directly over tables without generating logical forms. In some examples, a language model can be pre-trained using masked-language modeling tasks synthetically generated from tables pulled from a knowledge corpus. In some examples, the language model may be further pre-trained using pairs of counterfactual statements generated from those tables, and/or one or more statements that compare selected data from those tables. The language model may then be fine-tuned using examples that include only a question, an answer, and a table, allowing fine-tuning examples to be harvested directly from existing benchmark datasets or synthetically generated.

Abstract: An embodiment includes generating an intent string representative of a user's intention based on an input string from the user. The embodiment generates a search string that includes text from the input string and text from the intent string, and then executes a text-based query and an ontology-based query against a graph database using the search string. The embodiment generates a combined set of search results from search results of the text-based query and search results of the ontology-based query. The embodiment generates final relevance scores for the combined set of search results by adjusting at least a portion of preliminary relevance scores of the combined set of search results. The embodiment generates a query response that includes the combined set of search results ranked according to the final relevance scores.

Abstract: A medium storing a program including: classifying vectors of first sentences in a file into each similar vector; generating an inverted index associating a vector of each first sentence with a position of the first sentence on the file; identifying a feature sentence from a second sentences included in a second sentences; specifying similar vectors being vectors similar to a vector of the feature sentence based on the inverted index; specifying, for each similar vector, first transition data indicating transition of vectors at positions before and after the similar vector based on the inverted index; and specifying, from pieces of first transition data obtained by performing the specifying of the first transition data on the similar vectors, transition data similar to second transition data indicating transition of vectors of sentences before and after the feature sentence, to output the transition data as a response of the search query.

Abstract: A medium storing comprising instructions for: dividing a text into words; specifying an unknown word indicating a word other than a static word in a static dictionary among words in the text based on the static dictionary associating the static word with a vector; determining whether a unique word corresponding to the unknown word is included in a definition, using the definition defining a relationship between the unique word and a vector generated based on a condition that similar vectors are set for similar unique words; and when the unique word corresponding to the unknown word is included in the definition, assigning a vector corresponding to the unique word to the unknown word; and when the unique word corresponding to the unknown word is not included in the definition, assigning a vector to the unknown word using words arranged before and after the unknown word.

Abstract: Systems, computer-readable media, and methods are provided. Relevant documents related to a specific entity are identified based on document metadata. Text and associated spatial coordinates are extracted based on relevant document pages. Significant document entities and associated spatial locations are identified. Page ranking is based on the extracted text and the spatial coordinates, the significant document entities, and image vector representations of the pages. A deep learning language model that utilizes the text and the spatial coordinates, layout information of the document entities, and the image vector representations of the pages is used to extract the user-defined attributes from the relevant document pages. First attribute values associated with the user-defined attributes are aggregated from the pages of one of the relevant documents into a single record. Second attribute values associated with the user-defined attributes are aggregated across the relevant documents.

Abstract: Systems and methods described herein enable effective and accurate modeling of a set of existing data profiles, perform categorization of the data profiles in an explainable way such that actions can be taken on the information to have predictable results. The systems and methods further facilitate means to categorize small text components, trained over dependent and independent model sets, to enable a cleaner and more explicit representation of information rich short strings, in order to facilitate a more meaningful representation of the data profiles.

Abstract: Technologies for document evaluation and identification of shared textual substrings between documents are described herein. Documents are evaluated and organized according to textual elements within the documents. A suffix index is generated from a reference document. The suffix index is used to identify common substrings of text within query documents using variable evaluation windows within the query documents. Indications of overlapping textual information between the reference document and query documents is generated as an output.

Abstract: Embodiments of the present disclosure provide an information interaction method and apparatus, system and electronic device. The method comprises: receiving an interview instruction issued by a user to enter a preset interview; sending an interview request generated according to the interview instruction to a multimedia conferencing server to instruct the multimedia conferencing server to connect a terminal device to a predetermined web conference room, and determining a user identity of the user according to user information indicated by the interview request; in response to the user identity of the user being determined to be an interviewer, receiving first interview information that matches the interviewer identity as returned by the multimedia conferencing server; displaying a resume indicated by the resume information in a multimedia conferencing client of the terminal device. Thus, it is possible to view the resume of the candidate while holding an interview by means of multimedia conferencing.

Abstract: Systems and methods for generating knowledge graphs and text summaries from document databases are provided. In one embodiment, a system for generating knowledge graphs and text summaries includes: a device, including: a processor; and a memory containing a knowledge graph and text summary generating application, where the knowledge graph and text summary generating application directs the processor to: query a global network of biomedical relationships; construct a knowledge graph and a citation graph; apply processes to learn local context-based weights and compute summarizations; and provide results via a display.

Abstract: A method for processor-implemented method includes receiving an integrated circuit (IC) troubleshooting query for an IC. The IC troubleshooting query is received from a user. The method also includes performing natural language processing and machine learning to cluster the IC troubleshooting query into one of a number of semantically similar troubleshooting categories. The method further includes retrieving resolution data from an expert system library, based on a mapping between categories of user solutions and a topic of the IC troubleshooting query. The method also includes generating a recommendation in response to the IC troubleshooting query, based on the resolution data. The method outputs the recommendation to the user.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support identifying overruled in part content based on citationally related content. The most relevant passage, content, paragraph and the like, may be identified out of the citationally related content by providing extracted features as input data to trained machine learning classifiers to generate probability values. A ranking approach may be used where the content or paragraphs of an opinion may be selected as most relevant based on the generated probability values. In some implementations, a machine learning modeling approach may be used for both the overruling side and the overruled side of the content by leveraging different features and the relationship between the overruling document and the overruled document.

Abstract: In one aspect, a system receives a request to cluster a set of log records. Responsive to receiving the request, the system identifies at least one dictionary that defines a set of tokens and corresponding token weights and generates, based at least in part on the set of tokens and corresponding token weights, a set of clusters such that each cluster in the set of clusters represents a unique combination of two or more tokens from the dictionary and groups a subset of log records mapped to the unique combination of two or more tokens. The system may then perform one or more automated actions based on at least one cluster in the set of clusters.

Abstract: Embodiments of the present disclosure support systems and methods providing functionality for detecting the presence of cited with relationships in documents. In an aspect, a plurality of documents comprising legal citations is received and analyzed by one or more processors to detect cited with relationships within the documents. The plurality of documents may be analyzed to identify subsets of documents based on the legal citations and the cited with relationships. The cited with relationships may be identified and/or classified according to sets of proximity and/or contextual rules. In an aspect, metadata related to the cited with relationships may be generated and stored in a metadata database. In an aspect, metadata regarding cited with relationship may facilitate searching for documents having and/or identifying cited with relationships.

Abstract: System and method for creating clips of larger audio streams based on very accurate in point and out point and for searching for the clips. The system and method use byte signatures in MP3 or media files to accurately and efficiently find a specific cue point, such as for example, the beginning of a sentence in a podcast. The system and method are configured to search and locate a given clip even if that sequence moves inside the stream, such as for example, if the audio file adds additional content like advertisements or other audio sequence, the hash representation of the cue point can still be found with millisecond accuracy.

Abstract: The present disclosure relates to a content search method, a content search apparatus, a device, and a medium. The content search method includes: receiving a search keyword, where the search keyword matches with a target entity object, and the target entity object is an entity object corresponding to a target event; and displaying various target contents by region on a search result page, where the target content includes at least event information related to the target entity object in the target event and a first multimedia content associated with the target entity object in the target event. According to embodiments of the present disclosure, it enables the search result to more conform to the search intention of the user and further enriches the search result.

Abstract: There is provided with an information processing apparatus. A generation unit generates a playlist including a network address to be referenced in order to acquire first media data and second media data to be reproduced subsequently to the first media data and transition effect information indicating a first transition effect to be applied to a display or audio when switching reproduction of the first media data and the second media data. A transmission unit transmits the playlist to the reception apparatus.

Abstract: A method of identifying one or more concepts in a multimedia file includes separating text derived from the multimedia file into sub-portions, extracting features from the text of the sub-portions, and identifying concept clusters for the sub-portions based on the extracted features. The method further includes associating each of the sub-portions with the one or more concepts presented in the sub-portions of text based on the identified concept clusters and presenting, via a user interface, one or more portions of the multimedia file, where the portions of the multimedia file are generated based on the one or more concepts presented in each of the sub-portions of text of the multimedia file.

Abstract: Automated content generation and delivery may include processing a request for story synthesis using specified content items. The request may, for example, be captured using a microphone of an electronic device and transmitted to a server device. The specified content items may be mapped to a story template. Based on the story template, other content items related to the specified content items may be retrieved from one or more content sources. The content sources may, for example, refer to websites, social media platforms, search engine results, or other data stores. A story may then be synthesized using the specified content items and the other content items, for example, by combining the specified content items and the other content items according to the story template. The synthesized story may then be output, for example, at the electronic device.

Abstract: The present invention provides a timing information feedback method and prediction system for a refrigerator. The method includes: presetting an information source including audio information and/or video information; synchronously inserting and continuously running the information source at the start of timing; and closing the information source at the end of timing. During the timing running process, the feedback of the information source is increased, so that a user can receive ending information at the first time, thereby improving the user experience.

Abstract: To improve accuracy of processing of searching for an image including a desired person from among a plurality of images, the present invention provides an image search apparatus 10 including an image acquisition unit 11 that acquires a plurality of query images, an attribute information generation unit 12 that generates attribute information from each of a plurality of the query images, an integration unit 13 that generates integrated attribute information by integrating a plurality of pieces of the attribute information generated from each of a plurality of the query images, and a search unit 14 that searches for a target image from a plurality of reference images by using the integrated attribute information.

Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: A content analysis system provides content understanding for a content item using an attention aware multi-modal model. Given a content item, feature extractors extract features from content components of the content item in which the content components comprise multiple modalities. A cross-modal attention encoder of the attention aware multi-modal model generates an embedding of the content item using features extracted from the content components. A decoder of the attention aware multi-modal model generates an action-reason statement using the embedding of the content item from the cross-modal attention encoder.

Abstract: The invention uses mobile app technology to make herbarium information available on devices with easy-to-use interfaces. With the mobile app, the herbarium information is more easily accessible. This portion of the invention was disclosed in Provisional Application No. 63/404,960, filed on Sep. 9, 2022. This invention further supports the functionality to add new herbarium and/or live plant images. A user can use machine learning technology to identify the plant in the image or add taxonomic information with the aid of autocompletion feature. The invention allows a user to specify licenses for images. The images can be displayed to other users for information sharing, purchase and download. There is also a functionality to show only herbarium or live plant images in the app. This portion of the invention was not disclosed in Provisional Application No. 63/404,960 and built upon the foundation established by Provisional Application No. 63/404,960.

Abstract: Adaptive content delivery systems and methods are disclosed herein. An example system is configured to determine capabilities of a requesting end user system, interface with a database designed to store images characterized by criteria, select an image from the database that balances a highest quality and a smallest file size for the end user system, based on the capabilities, and provide the image to a network for delivery to the end user system.

Abstract: In one embodiment, a method includes indexing a whole slide image dataset to generate one or more dataset embeddings corresponding to one or more respective regions of one or more whole slide images. Each dataset embedding includes a feature vector mapping the respective region to a feature embedding space. The method includes accessing a query image and generating an embedding for the query image that includes a feature vector mapping the query image to the feature embedding space. The method includes identifying result tiles by comparing the embedding for the query image to one or more of the dataset embeddings. The comparison is based on one or more distances between the embedding for the query image and the one or more of the dataset embeddings in the feature embedding space. The method includes generating a user interface including a display of the result tiles.

Abstract: A system and method use a trained transformer model to generate summaries of audio interactions based on keywords. Training the transformer model includes obtaining a transcription of an audio interaction, obtain keywords for summarizing the audio interaction, training a transformer model to generate a summary of the audio interaction based on the keywords and the transcription, where the transcription is an input to the transformer model and the keywords are injected between an encoder and a decoder of the transformer model, and deploying the trained transformer model to be used for generating summaries of subsequent audio interactions.