Abstract: Systems and methods are provided for determining an environmental impact of one or more transactions. An example method generally includes accessing transaction data representative of a plurality of transactions, where each of the transactions involves a user and a merchant, and accessing at least one index indicative of environmental impact of a plurality of merchants. The method also includes generating a graph based on the users and merchants included in the transaction data, whereby the graph is representative of the plurality of transactions, and determining a mapping between ones of the merchants involved in the transaction data and the environmental impact indicated by the at least one index, based on at least one of: the graph, the accessed at least one index, a graph convolution network (GCN), and a graph neural network (GNN). The method then includes publishing the mapping between the ones of the merchants and the environmental impact.

Abstract: A method implements a dataset rank metric for measuring dataset relevance. Metadata is identified for a plurality of datasets. A graph structure is generated in storage. The graph structure includes a multitude of nodes connected by a multitude of edges. Each node of the multitude of nodes representing a respective dataset of a multitude of datasets, the multitude of edges connecting the multitude of nodes according to a data lineage determined from metadata of the multitude of datasets. A composite score is generated for each node of the graph. The computer processor iteratively processes the composite scores for the multitude of nodes of the graph to generate a dataset rank for each dataset. The multitude of datasets is presented in an interface, sorted according to the respective dataset rank of each dataset.

Abstract: A method, apparatus and device used to search for content, and a computer-readable storage medium, which relate to the field of data processing. In the method, in response to receiving a search request for a target search term, obtain multiple historical search records related to multiple historical search requests, each historical search record comprising the historical search term targeted by the corresponding historical search request. Then, determine a first historical search record matching the target search term from the multiple historical search records. Furthermore, based on the relationship between multiple historical search records, determine from the multiple historical search records a second historical search record associated with the first historical search record. The method further comprises determining an extended result for the target search term on the basis of the search result corresponding to the second historical search record.

Abstract: Disclosed is a method and system for a single broadband portal where all content may be delivered to users of varied electronic devices. An example embodiment (i) provides a user interface for enabling user selection of media contents per varied electronic devices, each varied electronic device having a respective platform, the user interface indicating one or more different possible media contents; (ii) accepts from a user requests for distribution service to any of the varied electronic devices of the user, the requests specifying a user desired media content; (ii) locates the user desired media content from a plurality of storage modules; (iv) transmits the user desired media content to at least one of the varied electronic devices of the user; and (v) tracks the transmission of the user desired media content for billing purposes.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for identifying candidate boundaries for video segments, video segment selection using those boundaries, and text-based video editing of video segments selected via transcript interactions. In an example implementation, boundaries of detected sentences and words are extracted from a transcript, the boundaries are retimed into an adjacent speech gap to a location where voice or audio activity is a minimum, and the resulting boundaries are stored as candidate boundaries for video segments. As such, a transcript interface presents the transcript, interprets input selecting transcript text as an instruction to select a video segment with corresponding boundaries selected from the candidate boundaries, and interprets commands that are traditionally thought of as text-based operations (e.g., cut, copy, paste) as an instruction to perform a corresponding video editing operation using the selected video segment.

Abstract: The present application provides methods, devices and computer readable media for intrinsic popularity evaluation and content compression based thereon. In an embodiment, there is provided a method of intrinsic popularity evaluation. The method comprises: receiving an image from a social network; and determining an intrinsic popularity score for the image using a deep neural network (DNN) based intrinsic popularity assessment model.

Abstract: A computer server system and method are disclosed for personalization and customization of network search results and rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a query from a user and transmit return queries and search results; a data storage device having a first, lexical database having one or more compilations and templates; and one or more processors configured to access the first database and search a selected compilation using the query to generate initial search results; to comparatively score each selected parsed phrase of the initial search results, for each classification of a selected template and a selected compilation, and to output initial and final search results arranged according to the classifications and the predetermined order of the template. A representative embodiment may also include use of a second, semantic database having multi-dimensional vectors corresponding to parsed phrases, paragraphs, or clauses.

Abstract: Systems and techniques for retrieving video data associated with a selected attribute are described. The systems and techniques include receiving a multimodal input associated with the attribute for querying a catalog of video data to identify video data including the attribute. A first embedding is determined for the input using a first encoder to map the input to a representation space. A second embedding is determined for the video data to map the video data to the representation space. A similarity score is determined between the video data and the input based on a distance between the embeddings. The video data associated with the attribute may be selected based on the similarity score.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: Another aspect of the invention provides a system for identifying causes of loss from insurance claims data comprising a plurality of unstructured or semi-structured insurance claims data. The system includes: a processor; and computer-readable memory containing instructions to: implement an interface programmed to receive insurance claims data comprising one or more insurance claims; store the insurance claims data in the computer-readable memory; and invoke execution of the method as described herein on the processor.

Abstract: This application relates to ransomware detection and data pruning management. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. In some embodiments, a software module running on a client machine manages copying, archiving, migrating, and/or replicating of primary data and restoring and/or pruning secondary data (e.g., backup copies of the primary data). When a potential ransomware attack is detected, the software module is immediately stopped so that the software module does not prune any data that may need to be restored. Upon receiving user input that indicates that the client machine is not under a ransomware attack, the software module is allowed to resume its operations, including pruning of the secondary data.

Abstract: A system and method for evaluating the performance and usage of a cognitive computing tool which answers questions from users. A log file for these interactions includes the questions, the answers and a confidence rating assigned by the tool to each answer. Questions and answers are analyzed to determine validity, accuracy, and categories by subject matter experts or text analytics tools, and the results are added to the log file. Comments and sentiments from users may be analyzed and added to the log file. Additional data about the users, such as identities, demographics, and locations, may be added. Data from the log file may be presented in a dashboard display as metrics, such as trends and comparisons, describing the usage and performance of the cognitive computing tool. Answers may be displayed as they were presented to the users. Selectable filters may be provided to control the data displayed.

Abstract: Aspects described herein may allow for generating a filter list to facilitate users to refine their online search. Data items displayed on a web page may be determined based on the user's input data, for example, based on a selection command selecting the data items. Each data item corresponds to a feature of a product. Filters corresponding to the data items may be determined and the weight of each filter may be updated. A filter list may be generated and displayed to facilitate the user to refine his search for a class of products. The filters on the filter list may be automatically ordered based on the weight of each filter. In this way, a user may be able to find filters that are associated with features that he cares about the most and therefore use the filter list to obtain more satisfying results.

Abstract: A computer-implemented method is provided that includes receiving a search query and, responsive to the search query, providing one or more textual comments relevant to the search query. This includes tokenizing the search query and calculating a set of query term frequency metrics. A set of records relevant to the search query is then selected, from a persistent storage, based on determined similarities between the query term frequency metrics and frequency metrics determined for the records in the persistent storage. Textual comments within the selected records are associated with usefulness metrics. The textual comments relevant to the search query are selected by selecting those textual comments within the selected records that are associated with usefulness metrics that are within a pre-determined range, e.g., an inter-quartile range for a population of usefulness metrics.

Abstract: Examples are directed to systems and methods that cause a first user interface having an input field that receives a search query to be displayed. A search query having an attribute of a first entity is received at the input field. Data records are searched for a second entity using the attribute when the search query is received. A second user interface is displayed that has a data record for the second entity. The data record lists the attribute and an additional attribute of the second entity. The second user interface has a drill down user interface that lists the attribute and the additional attribute. The attribute and the additional attribute are selectable to reconfigure the second user interface. The second user interface has a selectable option to create a new data record where the option corresponds to an indication that the first entity is different from the second entity.

Abstract: A user request for a set of images is received via a graphical user interface, the subset of images having an initial order. A subset of neighboring images is selected, wherein the subset of neighboring images is ordered according to a first sequence. A first concordance value characterizing visual detectability of one or more illicit content features across images in the subset of neighboring images ordered according to the first sequence is computed. A second concordance value characterizing visual detectability of one or more illicit content features across images in the subset of neighboring images ordered according to a second sequence is computed. Responsive to a difference between the second concordance value and the first concordance value satisfying a predetermined condition, the subset of neighboring images is rearranged according to the second sequence.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: Visually guided machine-learning language model and embedding techniques are described that overcome the challenges of conventional techniques in a variety of ways. In one example, a model is trained to support a visually guided machine-learning embedding space that supports visual intuition as to “what” is represented by text. The visually guided language embedding space supported by the model, once trained, may then be used to support visual intuition as part of a variety of functionality. In one such example, the visually guided language embedding space as implemented by the model may be leveraged as part of a multi-modal differential search to support search of digital images and other digital content with real-time focus adaptation which overcomes the challenges of conventional techniques.

Abstract: A computer-implemented method performed at least in part by a graph database configured to store at least one graph dataset. The method includes receiving a graph query configured to be performed against a machine learning model, and communicating the graph query with a machine learning system that is configured to use the machine learning model to obtain model inference results and communicate those model inference results to the graph database application. The graph database provides query results based at least in part on the model inference results to an entity.

Abstract: A collaborative system that securely enables the tracking of changes in an agreement.

Abstract: Techniques for summarization of search results are provided. A similarity search query comprising at least one search criteria is received. The similarity search query is executed on at least one data source containing a plurality of images associated with metadata responsive to the search criteria. A plurality of search results response to the similarity search query is received from the at least one data source. The plurality of search results is clustered based on the metadata associated with the plurality of search results excluding the similarity criteria. The plurality of search results is summarized based on the results of the clustering. The summarization is displayed in a display view. An interactive user interface is provided to refine the plurality of search results based on the summarization.

Abstract: A plurality of HyperText Markup Language (HTML) strings corresponding to a dataset of document object model (DOM) nodes is tokenized according to a tokenization scheme to produce a dictionary of tokens that occur in the dataset. A condensed dictionary of tokens in produced by removing low-value tokens from the vocabulary of tokens. An information matrix is computed based on the condensed dictionary of tokens, the information matrix being a set of values, a value of the set of values corresponding to a frequency of co-occurrence of a pair of tokens. A library of word vectors is derived from the information matrix. A feature vector of an HTML element is generated based at least in part on the library of word vectors, and a classification for the HTML element is obtained from a machine learning model as a result of inputting the feature vector into the machine learning model.

Abstract: Some embodiments provide a map application that identities a transit route that includes one or more transit legs between a starting location and a destination location. In response to a request to start navigating the identified transit route, the map application of some embodiments provides a first display area for displaying a set of navigation instructions, each of which describes a transit maneuver that is associated with a transit leg of the transit route. The map application also provides a second display area for displaying a map region presentation associated with the navigation instruction that is displayed in the first display area.

Abstract: An exemplary embodiment of the present disclosure relates to an apparatus providing drive guide information of a construction equipment includes: an information acquisition unit acquiring information generated according to a motion of the construction equipment; a storage unit storing an item defined for calculating a score for worker driving of the construction equipment and an equation for calculating the score for the item, and storing a guide phrase for each item and information on equipment setting change for each item; a control unit calculating the score for each item according to the information provided, and selecting an item which needs to be improved based on the calculated score for each item; and a display unit displaying a guide phrase matching an item selected according to an instruction of the control unit and information on equipment setting change matching the selected item at a predetermined time.

Abstract: Shoppable video enables a viewer to identify and buy items appearing in a video. To retrieve information about the items in a frame of the video, the playback device generates a perceptual hash of that frame and uses that hash to query a first database storing perceptual hashes of different version of the video. The database query returns an identifier for the frame, which is then used to query a second database that store the item information. The results of this query are returned to the playback device, which shows them to the user, enabling the viewer to learn more about and possibly purchase the item. Using queries based on perceptual hashes of different versions of the video increases the likelihood of returning a match, despite formatting differences. And using separate hash and metadata databases makes it possible to update the metadata without changing the hashes.

Abstract: Systems and methods enable an entity to certify a web page address as being linked to the entity. The web page address includes semantic web mark-up identified attributes for the entity. A system may extract the attributes from the web page for the entity and use the attributes to generate an information card for the entity. The certification process ensures that the attributes are accurate, so that information cards generated for the entity are of high quality and reliable. Implementations may also simplify maintenance and quality assurances processes for an entity repository.

Abstract: Top frequency worksheet filtering including sending a first request comprising a first search term; receiving, in response to the first request, a first plurality of distinct values having a greatest frequency in a data set and responsive to the first search term, wherein the first plurality of distinct values comprises a number of distinct values less than or equal to a size threshold; presenting the first plurality of distinct values; receiving a selection of a first value from the first plurality of distinct values; and filtering, based on the selected first value, a worksheet comprising a presentation of the data set.

Abstract: An unstructured data input is accessed that includes an electronic communication. Content of the unstructured data is parsed to determine one or more terms in the unstructured data input. It is determined that one or more particular elements defined in a structured business data model correspond to the terms. Tags are assigned to the unstructured data based on the terms corresponding to the one or more particular elements, where the tags define an association between the unstructured data and the structured data model.

Abstract: Embodiments are directed to generating metrics based on visualizations. A dashboard that may be associated with source visualizations display a current value of metrics from source visualization models. A classifier may automatically use characteristics from the source visualizations to determine metrics for the source visualization. The source visualization models may be sample to provide values of the metrics across time, at a sampling rate determined by a metric profile. The sampled values may be stored with time values in a metric data store such that the time values may correspond to when the values sampled from the visualization. Metric visualizations may be generated based on the values and the time values such that the metric visualizations display previously sampled values of the metrics.

Abstract: A computer-implemented method, system and computer program product for recommending a template or a dataset. A descriptor (input descriptor) of the input, corresponding to a dataset or a dashboard template, is extracted or fetched. The input descriptor may be the descriptor of the dataset which includes topics and concept combinations. Alternatively, the input descriptor may be the descriptor of the dashboard template which includes topics, concept combinations and column-to-visualization mappings. Scores are then generated for the candidate targets, corresponding to dashboard templates or datasets, based on one or more of the following: matching topics in the input descriptor with topics in the candidate target descriptors, matching concept combinations in the input descriptor with concept combinations in the candidate target descriptors, and determining compatibility of the datasets with the dashboard templates.

Abstract: Systems as described herein may analyze big data to generate predictions for Software-as-a-Service (SaaS) offerings and/or other subscription-based software. A prediction system may receive small business transaction data comprising payment information between a plurality of merchants and a software vendor. The prediction system may receive enterprise merchant insights information. The prediction system may identify, based on the small business transaction data and the enterprise merchant insights information, recurring transactions using a first machine learning model. The prediction system may generate an average contract price and a confidence score, using a second machine learning model. The prediction system may generate a recommendation comprising a renewal rate. Based on a determination that a service provided by the software vendor is coming due for renewal, the prediction system may send, to a particular merchant, an alert associated with the renewal and the recommendation.

Abstract: The method provides for receiving a plurality of documents including mentions of a target entity from a search query about the entity. The mentions of the target entity are identified in respective documents of the plurality of documents. Content surrounding the one or more mentions of the target entity are extracted with the mentions within the respective documents and form section. A respective document includes a plurality of sections. Metrics of relevance and irrelevance to the target entity are determined within the plurality of sections of the respective documents. A density score is generated for the plurality of sections of the respective documents. A relevancy score is assigned to respective documents of the plurality of documents, based on the density scores of the sections of the respective documents. The documents are ranked based on the relevancy score and presented in an order based on the ranking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.

Abstract: A user can submit a visual query that includes one or more images. Various processing techniques such as optical character recognition (OCR) techniques can be used to recognize text (e.g. in the image, surrounding image(s), etc.) and/or various object detection techniques (e.g., machine-learned object detection models, etc.) may be used to detect objects (e.g., products, landmarks, animals, humans, etc.) within or related to the visual query. Content related to the detected text or object(s) can be identified and potentially provided to a user as search results or a proactive content feed. As such, aspects of the present disclosure enable the visual search system to more intelligently process a visual query to provide improved search results and content feeds, including those search results which are more personalized and/or consider contextual signals to account for implicit characteristics of the visual query and/or user's search intent.

Abstract: The present disclosure provides for systems and methods for processing data. In some aspects, a data processing system may comprise at least one computing device, wherein the computing device may be configured to facilitate the performance of at least one process for extracting one or more domain-specific topics or themes from at least one data set. In some implementations, one or more data sets may be received by the data processing system such that the data processing system may identify one or more n-grams within each data item. In some embodiments, one or more of the n-grams may identified as being potentially associated with a correlating topic or theme such that data items comprising the same or similar n-grans may be aggregated into the same topic or theme, thereby assisting a user with quickly locating desirable data items within the data set.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for obtaining incoming alerts associated with tickets generated for health status issues identified by applications for central components of a cloud platform environment. The obtained incoming alerts are aggregated to determine a root cause ticket. A set of incoming alerts is associated with a first central component running at a first data center from one or more data centers of the cloud platform environment. The set of incoming alerts are generated based on a set of tickets logged at a first ticketing system of the first data center by one or more applications running on the first data center. A root cause ticket is generated to combine the set of tickets corresponding to the set of incoming alerts, and the root cause ticket identifies the first central component as associated with a first health status issue.

Abstract: Search may be provided using a database storing a plurality of documents comprising a first set of documents and a second set of documents, a set of vetting values and a computer readable medium. In such a system, for each document in the second set of documents, the first set of documents comprises a document for which that document from the second set of documents is identified as a subsequent related document. Additionally, the set of vetting values may comprise, for each document from the second set of documents, a vetting value for the document from the first set of documents for which that document from the second set of documents is identified as the subsequent related document. Additionally, the medium may store instructions to respond to a query by determining, based on the set of vetting values, a search result set comprising documents from the first set of documents.

Abstract: Manually framing questions for research and evaluation has the disadvantage that quality and effectiveness of questions of the questions depend on knowledge and expertise of subject matter expert who is framing the questions. The disclosure herein generally relates to data processing, and, more particularly, to a method and system for generating protocol for data extraction from one or more users. The system identifies sub-objectives corresponding to an identified research objective, and then generates questions to get response that matches the objective and sub-objectives. Further, a sequence is decided for the questions, and accordingly recommendations are generated. The system also assesses whether response obtained from users has reached saturation, and accordingly generates trigger to terminate data collection.

Abstract: An entity resolution data structure system compares two data graphs by creating a confusion matrix in a distributed processing environment. A benchmark file is created from one data graph for comparison to a reference data graph. Identifiers and metadata are appended to the benchmark file to allow the comparison to take place and the construction of a confusion matrix. The confusion matrix provides a high-level indication of the results of the comparison. When the data graphs contain personally identifiable information (Pll), the process does not require any Pll to be transmitted in either direction between the parties who maintain the data graphs to be compared.

Abstract: Semantic type-ahead suggestions are provided for natural language database searches. The system maintains an index of previous natural language database searches and a sorted prefix map based on words used in previous natural language database searches. The system receives user input for a new search, creates a search list based on the user input and user input synonyms, searches the index using the search list, and creates a candidate match list with matching previous searches in the index. If the system determines that the user input includes a database object reference, it filters out searches in the candidate match list that are associated with a different database object. The system ranks the remaining searches in the candidate match list and displays the top n-ranked previous searches in the candidate match list as type-ahead suggestions. The system repeats the steps for each incremental input character and updates the type-ahead suggestions accordingly.

Abstract: An electronic social network can be provided that unifies products and services of one or more entities, such as financial institutions. Users of the social network can provide input regarding one or more products or services. Feedback can be solicited from other users of the social network regarding the input, and a score can be generated for a user that represents a level of agreement of the other users. A recommendation is generated and conveyed to users of the social network based on the score and user profile of the user associated with the score.

Abstract: A systems including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving in-session user activity information, the in-session user activity information comprising a user search query from a user and a ranked list of products to be displayed to the user based on the user search query, and a product of the products being part of a boost category; determining a respective content model prediction score for each of the products of the ranked list of the products; determining a respective discounted cumulative gain (DCG) score for each of the products of the ranked list of the products; analyzing the product that is part of the boost category to determine if the product is to be repositioned within the ranked list of the products based on the respective DCG score for each of the products; and in response to determining that the product that is part of the boost category is to be repositione

Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.

Abstract: Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values using one or more sensors of a mobile device and the one or more sensor values are determined from one or more signals emitted by a first one or more accessory devices. An area of a physical space for the first one or more accessory devices can be determined based on the one or more sensor values. A second one or more accessory devices associated with the same area as the first one or more accessory devices can be suggested to a user.

Abstract: A system to generate and present an intelligent RSS feed that performs operations that include: accessing a media collection from a media host, wherein the media collection may comprise a podcast; caching a sequence of media objects associated with the media collection at a media repository; receiving a request that comprises an identifier associated with the media collection; inserting a media object at a position among the sequence of media objects; and causing display of a presentation of the sequence of media objects at a client device wherein the sequence of media objects includes one or more podcasts, and the presentation of the sequence of media objects includes the media object inserted at the position among the sequence of media objects.

Abstract: A system located in a building. The system including a processing circuit configured to receive tags describing points of a piece of building equipment, the piece of building equipment connected to the system. The processing circuit configured to map the tags to classes of a schema of a graph data structure. The processing circuit configured to perform clustering to generate clusters of the points. The processing circuit configured to identify, based on the clusters, relationships in the schema of the graph data structure between the tags mapped to the classes of the schema of the graph data structure. The processing circuit configured to communicate data to a second system based at least in part on the tags mapped to the classes and the relationships.

Abstract: Techniques regarding pipeline security compliance are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a certification component that certifies a result from an execution of a pipeline for a computer application based on a comparison of an implemented security control profile associated with the pipeline and an applicable security control profile identified from a source artifact associated with the computer application.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for integrating question generation and answer retrieval in a question answer system. The system generates a question using a set of documents and determines whether it is semantically distinct from questions in a question-answer repository. After determining that the question is semantically distinct from questions in the question-answer repository, the system adds the question to the question-answer repository. Upon receipt of a user-submitted question, the system uses the question-answer repository to identify a semantically similar question. The system retrieves an answer corresponding to the identified question from the question-answer repository and provides the answer in response to the user-submitted question.

Abstract: Iterative search of a candidate resume database is performed using computer-implemented methods and accompanying systems, and includes the steps of generating a ranked list of search terms associated with a job candidate search, constructing a search query of the candidate resume database based on the ranked list of search terms, executing the search query on the candidate resume database in a count mode to generate a number of results, evaluating the number of results generated from the execution of the search query by comparing the number of results to individual thresholds within a set of thresholds. Upon determining that the number of results exceeds one or more thresholds, the methods further include retrieving the results from the candidate resume database. Upon determining that the number of results does not exceed one or more thresholds, the methods further include removing a restrictive term from the search query.

Abstract: A data analysis system for measuring a materiality feature of interest is disclosed. The system includes a computing cluster ingesting content comprising a plurality of observables relevant to an entity, wherein each observable is related to at least one feature of interest. The system further includes an extraction engine running on the computing cluster and tagging the observables with an entity identifier in response to the observables referencing at least one of an entity, a tradename associated with the entity, or product associated with the entity. Additionally, the system includes an analysis engine running on the computing cluster and tagging an observable in response to the feature of interest being related to the observable. In one embedment, the analysis engine measures the materiality of the feature of interest to the entity by counting a number of observables from the plurality of observables tagged with the entity identifier.