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

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

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

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

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

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

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

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

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

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

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

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

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

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

Abstract: A method and apparatus for optimizing a query in a relational database management system (RDBMS) when a predicate on a data column in the query has a correlation to a partitioning attribute of a partitioning column in data retrieved from a cloud-based store, wherein the optimizing uses the correlation between the data column in the query to the partitioning column in the data retrieved from the cloud-based store for data elimination when processing the query. The correlation is defined in a formula or lookup data structure that maps or range-maps from the data column to the partitioning column.

Abstract: Existing systems for document processing are either based on a supervised approach using annotated tags, and these systems identify section-based data from the unstructured documents without considering the statistical variations in content, which results in highly inaccurate content extraction. The disclosure herein generally relates to document processing, and, more particularly, to method and system for document indexing and retrieval. The system provides a mechanism to correlate unique words in a document with different topics identified in the document, based on a word pattern identified from the document. The correlations are captured in a knowledge graph, and can be further used in applications such as but not limited to document retrieval.

Abstract: A method for execution by a marketplace server includes receiving a use request regarding an exchange item from a merchant computing device, the exchange item is associated with static exchange item information. The method includes retrieving a verified device identifier associated with the exchange item based on the use request and identifying a user computing device based on the verified device identifier. The method includes generating first dynamic exchange item information based on the static exchange item information and generating a use verification code based on the first dynamic exchange item information and the use request. The method includes sending the use verification code to the identified user computing device and receiving information representing the use verification code from the merchant computing device.

Abstract: Certain embodiments described herein are relate to a method for dynamically rekeying a security association. The method includes establishing, by a destination tunnel endpoint (TEP), an in-bound security association with a source TEP, with a first security parameter index (SPI) value, for encrypting data packets communicated between the source TEP and the destination TEP. The method further includes rekeying, by the destination TEP, the in-bound security association, the rekeying including generating a second SPI value for replacing the first SPI value based on a trigger event relating to at least one of a real-time security score of the in-bound security association, a number of security associations assigned to a compute resource that the in-bound security resource is assigned to, an amount of load managed by the compute resource that the in-bound security resource is assigned to, and an indication received from an administrator.

Abstract: A method, apparatus, system, and computer program code for classifying data. A number of virtual datasets is generated at multiple granularities across a number of data dimensions. Data records that correspond to a combination of data dimensions are identified in a virtual dataset. A number of defined rules are applied to: determine a set of granularities for each of the number data dimensions for comparing the data records that were identified; and determine a model for comparing the data records that were identified. The data records are classified according to the model and the set of granularities that were determined for the number data dimensions.

Abstract: Techniques for augmenting or modifying ordered results include sending a search query to a location service, receiving ordered results responsive to the search query, and augmenting or modifying the search results based on user-specific information stored locally at a consumer computing device. The ordered results may be augmented by reordering a search result in the list of search results based on the user-specific information, and/or by graphically representing a location included in the ordered search results based on the user-specific information. The augmented search results may be presented on a display associated with the consumer computing device in a manner specific to a user of the consumer computing device.

Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

Abstract: A system for performing recursive online searches is configured to: (a) determine that a summary profile of a target entity includes at least one unpopulated field; (b) search at least one of a set of data sources to obtain one or more attributes for populating the at least one unpopulated field, the one or more attributes being information extracted from one or more peripheral entities associated with the target entity; (c) calculate, for each of the one or more attributes, a respective confidence score based at least in part on a set of factors, the set of factors including an activity level of the target entity; and (d) based on a respective confidence score being above a threshold, populate a respective unpopulated field with a respective one of the one or more attributes.

Abstract: Spiders scans websites. A ghost spider scans VR/Metaverse “rooms”. The ghost spider does not use an avatar to represent itself when it visits rooms. It has no visible presence to avatars. A ghost spider can follow an avatar, documenting its activities. A room can have policies on forbidden items for avatars. Two common problems with rooms are (a) unauthorised use of trademarks; (b) when users with avatars visit a room, (zombie) avatars often remain logged in and static, as their users do other tasks. The room falsely benefits in attendance numbers with zombies present. Our specification attacks both problems.

Abstract: An asset to be displayed during an online engagement is identified. A mixture of multimedia assets that include any combination of: audio, video, text, or image, are selected to be displayed simultaneously with the asset. Each multimedia asset selected based at least on a relationship between the multimedia asset and the asset to be displayed during the online engagement. A presentation screen is created that includes the selected multimedia assets and the asset to be displayed during the online engagement based on display parameters of a receiving device.

Abstract: Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

Abstract: This disclosure relates to systems and methods for providing user content on a social network. In some aspects, the social network receives, over a communications network from a first computing device associated with a first user of the social network, a transmission including a post to be published on the social network. The social network detects, in the post, goods or services sought or inquired about by the first user, and determines a proximity of the first user. The social network identifies one or more other users of the social network located within a geographical area or the proximity associated with the first user, and presents the post only to the one or more identified users of the social network.

Abstract: Systems and methods for performing inference for word or wordpiece tokenization are disclosed using a left-to-right longest-match-first greedy process. In some examples, the vocabulary may be organized into a trie structure in which each node includes a precomputed token or token ID and a fail link, so that the tokenizer can parse the trie in a single pass to generate a list of only those tokens or token IDs that correspond to the longest matching vocabulary entries in the sample string, without the need for backtracking. In some examples, the vocabulary may be organized into a trie in which each node has a fail link, and any node that would share token(s) or token_ID(s) of a preceding node is instead given a prev_match link that points back to a chain of nodes with those token(s) or token_ID(s).

Abstract: A spatial search may be performed using representations of geometric shapes stored in a key-value store. A request to perform a spatial search may be received, the request including a geometric shape composed of one or more points. The points of the geometrical shape may be translated into one or more spatial indexes representing spatial cells using a space-filling curve. A key-value store may then be incrementally searched for each spatial index to identify spatial cells intersecting the geometric shape for which other known geometric shapes exist. The key-value store may then be searched to identify the known geometric shapes intersecting the geometric shape included in the search.

Abstract: In one embodiment, a web content management system is coupled to remote resources via a framework that has one or more corresponding adapters which enable editing of content by invoking editors which are native to the respective remote resources. The system retrieves a content item from a remote resource and stores a copy of the content item in a local repository, while the original content item remains in the repository of the remote resource. A content item can be selected in in a local authoring tool, causing the system to examine the content item's metadata to identify the source repository and invoke the native editor of the corresponding remote resource, enabling editing of the content item using the native editor. The copy of the content item in the local repository can then be synchronized to the edited version of the content item in the remote resource.

Abstract: A method collects word-based data corresponding to a first identifier. A first phrase vector is generated for the first identifier by extracting frequency data from the word-based data. A similarity metric is generated corresponding to the first identifier and a second identifier by comparing the first phrase vector of the first identifier to a second phrase vector of the second identifier. A tuple is generated that includes the first identifier and the second identifier using the similarity metric. A machine learning model is trained with the tuple to generate an embedded vector corresponding to the first identifier.

Abstract: Technology described herein assigns a reliability score to web content, such as a web site or portion of a website. In one aspect, an output of the technology is a high reliability score and a low reliability score for a web content. The high reliability score represents conformance to high reliability sites, while the low reliability score represents conformance to low reliability sites. The high reliability score may be generated by first identifying high reliability online content within a compressed web graph. In a first iteration, the high reliability score of the seeds is used to score online content that is linked to the seed sites. At a high level, the more links that originate from high reliability sources, the higher the reliability score for the linked content. The low reliability score is similar, but uses outgoing links to low reliability sites instead of incoming links from high reliability sites.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating and delivering interactive modules. In some implementations, form data for an interactive module is accessed. Based on the form data, a first element from among the plurality of elements specified by the form data is presented. The system determines (i) a first score based on a user response to the first element and (ii) a cumulative score for the interactive module based at least in part on the first score. The system selects from among multiple options for adjusting presentation of the interactive module based on the scores.

Abstract: Methods, apparatus and articles of manufacture to provide workflow subscription management in a cloud computing environment are disclosed. Examples disclosed herein cause a graphical user interface associated with a virtual appliance to present a template to create a first workflow subscription, the template including (1) a first input element to specify a workflow to be performed, and (2) a second input element to specify an event topic that is to trigger operation of the workflow, the second input element including a field to specify at least one of (i) whether other workflow subscriptions are to be blocked from an event notification associated with the event topic until the first workflow subscription has acted upon the event notification, or (ii) whether a reply notification is to be sent to a service associated with the event notification after the workflow has completed in response to being triggered based on the event notification.

Abstract: Systems and methods are provided for dynamically generating a product description personalized for a target user account. Product description data and/or product comment data associated with the product are obtained from a server via a communication network. Based on the product description data and/or product comment data, a product description template, comprising fields to be populated, is generated and stored in memory. Comment data associated with a product of interest is obtained from a server via the network. The comment data originates from a set of user accounts each having a similarity score with a target user account that is above a similarity threshold. Based on the set of comment data, comment-based description data are generated and stored in memory. Based on the product description template and the comment-based description data, a product description is generated for presentation for the target user account.

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

Abstract: In an approach for training data enhancement for an interactive response system, a processor retrieves a set of training data including a set of intents, a set of entities, and a set of utterances that map to each intent. A processor determines iteratively a root verb among the set of utterances for each intent. A processor to determine a set of new intents based on analysis of the determined root verb by performing a pairwise iteration and similarity score over the set of intents. A processor determines iteratively one or more new entities for each new intent. A processor generates a set of new training data based on the set of new intents and entities.

Abstract: A method of personalized image retrieval includes obtaining a natural language query including a name; replacing the name in the natural language query with a generic term to provide an anonymized query and named entity information; obtaining a plurality of initial ranking scores and a plurality of attention weights corresponding to a plurality of images using a trained scoring model that inputs the anonymized query and the plurality of images; obtaining a plurality of delta scores corresponding to the plurality of images using a re-scoring model that inputs the plurality of attention weights and the named entity information; and obtaining a plurality of final ranking scores by modifying the plurality of initial ranking scores based on the plurality of delta scores. The trained scoring model performs semantic based searching and the re-scoring model determines a probability that faces detected in the plurality of images correspond to the name.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and data-driven control systems and algorithms based on graph-based data arrangements, among other things, and, more specifically, to a computing platform configured to receive or analyze datasets in parallel by implementing, for example, parallel computing processor systems to correlate subsets of parallelized data from disparately-formatted data sources to identify entity data and to aggregate graph data portions. In some examples, a method may include classifying data parallelized data to identify a class of observation data, constructing one or more content graphs in a graph data format, correlating parallelized data to other subsets of parallelized data associated with a class of observation data; and aggregating observation data to represent an individual entity.

Abstract: Provided herein are systems and methods for a database object (e.g., materialized table) configuration including scheduling refreshes of the materialized table. For example, a method includes determining a dependency graph for a first MT. The dependency graph comprises a second MT from which the first MT depends. The first MT includes a query on one or more base tables and a lag duration value. The lag duration value indicates a maximum time period that a result of a prior refresh of the query can lag behind a current time instance. A tick period is selected for a set of ticks based on the lag duration value. The set of ticks corresponds to a set of aligned time instances. Refresh operations are scheduled for the first and second MTs at corresponding time instances from the set of aligned time instances. The corresponding time instances are separated by the tick period.

Abstract: The systems, methods, and computer program products for determining bins for a data model are provided. Variables in a training data set are binned into bins up to a configurable number of bins. Variables in the validation data set are also binned using the bins from the training data set. A first decision tree is generated using the bins and the binned variables from the training data set and is pruned. A second decision tree is generated using the structure of the first decision tree and the binned variables from the validation data set. The first and second decision tree are merged into a third decision tree. Leaf nodes of the third decision tree are sorted and merged until weights of evidence associated with the training data set and the validation data set are monotonic. The bins for the data model are determined from the merged leaf nodes.

Abstract: Systems and methods for enabling a display of listings based on listing activity are disclosed herein. In one embodiment, activity information of a listing displayed among multiple listings is accessed. Whether the activity information of the listing conforms to one or more criteria is determined. A priority of the listing relative to the multiple listings is altered based on the activity information of the listing conforming to the one or more criteria. The listing is displayed among the multiple listings according to the altered priority of the listing.

Abstract: A system and method for operating fewer servers near maximum capacity as opposed to operating more servers at low capacity is disclosed. Computational tasks are made as small as possible to be completed within the available capacity of the servers. Computational tasks that are similar may be distributed to the same computing node (including a processor) to improve RAM utilization. Additionally, workloads may be scheduled onto multicore processors to maximize the average number of processing cores utilized per clock cycle.

Abstract: Systems and methods for facilitating optimization of documents based on prior interactions according to one or more example embodiments are shown. Such systems and methods make use of analyzing information obtained from financial institution computing system as well as other third party networks. Such systems and methods also make use of analyzing information stored from previous interactions with documents (e.g., financial disclosures). In some embodiments, this analysis of data allows for documents, such as disclosure documents, to emphasize features or sections that are of particular interest to the individual receiving the document. Information associated with one or more sections of a disclosure document may be pushed to account holders based on a disclosure associated event.

Abstract: A computer-implemented method may include: receiving first data that may include information associated with an error in an execution of code; based on the first data, determining: for each contributor in a predetermined list of contributors: a respective familiarity value indicative of an amount of association between the contributor and the error in the code; and a respective set of task management statistics; and an urgency value of the error; using an optimization model, selecting at least one contributor from the predetermined list of contributors to assign to the error, the optimization model based on the respective familiarity values and the respective sets of task management statistics for each contributor, and the urgency value of the error; and transmitting a notification indicative of the error to a computing device associated with the at least one contributor assigned to the error.

Abstract: Embodiments are disclosed for automatically evaluating records. In the context of a method, an example embodiment includes receiving a set of text produced from a record, identifying, by block manipulation circuitry and from the set of text, one or more blocks of text that are related to a potential conclusion regarding the set of text, and extracting, by the block manipulation circuitry, the one or more blocks of text. The example method further includes concatenating, by the block manipulation circuitry, the extracted one or more blocks into a sequence of words, inputting the sequence of words into a machine learning model, and, in response to inputting the sequence of words into the machine learning model, producing, using the machine learning model, an indication of whether the potential conclusion regarding the record is supported by the sequence of words. Corresponding apparatuses and computer program products are also provided.

Abstract: Embodiments as disclosed herein provide a search system with an pre-indexing filter that provides both a sophisticated and contextually tailored approach to filtering documents and a corrector that is adapted to alter a document that has been designated to be filtered out from the indexing process and determine if the altered document should be indexed. The alteration of the document may be tied to the attributes, rules or thresholds used to initially filter the document from the indexing process. The filtering criteria can thus be tailored to a specific context such that both the initial filtering and the alteration process may be better suited for application in that context.

Abstract: An approach is provided in which the approach segments each one of multiple components corresponding to multiple component levels in an SQL database system into multiple functions. The approach combines a first one of the multiple functions with a second one of the multiple functions into an image, and invokes the image to process an SQL query using the first function and the second function.

Abstract: Embodiments of the present disclosure include systems and methods for storing tensors in memory based on depth. In some embodiments, for each of a plurality of sets of elements in a three-dimensional (3D) matrix, a position is determined along a height axis and width axis of the 3D matrix. At the determined position, a set of elements are identified along a depth axis of the 3D matrix. The set of elements are stored in a contiguous block of memory.

Abstract: The technology described herein provides for identifying matching documents for a search query using a bit vector search index. When a search query is received, a term is identified from the search index, and a number of bit vectors corresponding to the term are identified. Each bit vector comprises an array of bits in which at least one bit in each bit vector indicates that a corresponding document includes the term. Each bit vector also includes other bits indicating other documents include other terms. A determination is made that an unacceptable number of possible matching documents is likely to be returned. In response to the determination, a strengthening row bit vector is selected to reduce the number of possible matching documents. The identified bit vectors and the selected strengthening row are intersected to identify matching documents that contain the term.

Abstract: An identification of a dynamic specification is received via a form for building an application. The dynamic specification is able to be utilized to execute one or more database queries to dynamically obtain a list of categories for different embedded screens of an automatically generated end-user application. The end-user application is configured to dynamically generate for a user interface of the end-user application a different selectable user interface element for each category of the list of categories dynamically obtained by executing the one or more database queries and upon selection of one of the selectable user interface elements, provide on the user interface a corresponding embedded screen of the different embedded screens.