Abstract: Methods and systems for selecting and presenting web resources (e.g. videos) are provided, the method includes: transmitting a first video to be played by a device associated with a user account; and during playback of the first video at the device: detecting an update to configuration data associated with the user account; determining, based on the update to the configuration data associated with the user account, a next video recommendation for the user account; and causing an indication of the next video recommendation to be displayed on the device.

Abstract: An apparatus for generation of an integrated data file, wherein the apparatus includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive content data from a user, receive preference data from the user as a function of receipt of the content data, create a plurality of templates as a function of the preference data and the content data, receive user feedback associated with the plurality of templates, generate one or more updated templates as function of the user feedback and the plurality of templates, generate an integrated data file as a function of one or more updated templates and transmit the integrated data file to one or more content producers.

Abstract: A device receives user interface interaction data that identifies an interaction that a user has with an interface that displays an image of a vehicle. The device generates, by using a data model to process at least a portion of the image, an array of vectors that includes one or more vectors relating to vehicle characteristics of the vehicle. The device assigns one or more weights to the one or more vectors based on the user interface action data. The device determines, based on a similarity analysis, similarity scores that indicate similarities between the array of vectors that include the one or more vectors that have been weighted and other arrays relating to the vehicles depicted in the images. The device selects a subset of the images based on the similarity scores and causes the subset of the images to be displayed.

Abstract: A data processing and analysis system that optimizes the resources to be used for data storage and refresh events. A partitioner module for a data analysis system can receive a first client criteria and a first client dataset that includes tabular data and calculate scores that are used to generate partitioning strategies. The selected partitioning strategy can be implemented to produce aggregated data that can be stored in an intelligent data mart. The partitions can then be accessed by a data visualization platform for intelligent, dynamic responses to user requests for data analyses and generation of visualizations. By providing synchronous partitioning of data (especially big data) and intelligent refresh, the data can move from the back-end to the front-end with minimal user clicks and minimal latency in performance.

Abstract: Disclosed are a semantic matching and retrieval method and apparatus. The semantic matching and retrieval method includes steps of obtaining both the vector representation of a query text and the vector representation of a document text; obtaining the final vector representation of the query text; obtaining the final vector representation of the document text; calculating, based on the final vector representation of the query text and the final vector representation of the document text, the similarity score between the query text and the document text; and selecting, based on the similarity scores between the query text and a plurality of document texts, a document text matching the query text from the plurality of document texts.

Abstract: A content collaboration platform, such as described herein, may include dynamic object tables that are configured to dynamically populate and/or update. Dynamic object tables may be configured to retrieve content (e.g., page content) from the content collaboration platform and automatically populate attributes from that content directly in the cells of the dynamic object tables. Updates to the page content may also be automatically updated within the table. In some examples, the dynamic object tables may be embedded within pages of the content collaboration platform and, within the same page, the user can edit, filter, and sort the dynamic object table without toggling to other tabs, applications, or documents.

Abstract: An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.

Abstract: A database management engine provides a user interface that allows users to access and modify employee information in a database. The database includes entries for employees, and each database entry includes identifying information about the associated employee. A user can request to modify data within database entries, for instance in order to update information associated with an employee. Responsive to the request, the database management engine identifies liabilities associated with the database modification stemming from associated tax laws. Based on the identified tax liabilities, the engine computes the aggregate tax liability owed by the employer and/or employee. Before modifying a database entry, the engine modifies the user interface to include interface elements detailing the computed aggregate tax liability. The user explicitly can be required to confirm the database modification in view of the aggregate tax liability.

Abstract: Embodiments of copypasta filtering system technologies cluster digital content items into copypasta clusters, extract a first feature set from the digital content items in the copypasta clusters, apply a first set of filters to the first feature set, and based on output of the first set of filters, divide the copypasta clusters into first intent copypasta clusters and possible second intent copypasta clusters. A second feature set is extracted from the digital content items in the possible second intent copypasta clusters. A second set of filters is applied to the second feature set. Based on output of the second set of filters, second intent copypasta clusters are created.

Abstract: Methods and systems described herein can provide a computing device configured to display on a display screen of the computing device a first window listing a set of entries and a second window that can add entries directly into the set of entries and that can search for entries having selected features. The second window can dynamically display one or more keywords related to an entry as the entry is being created. The keywords can be determined as the entry is created and can be associated with the entry as the entry is added to the set of entries. The second window can receive a search request with the keywords and in response, cause the entries associated with the keywords to be displayed in the first window.

Abstract: An assigned subgroup that includes a plurality of entries is traversed by a prefetcher. It is determined that an expected number of entries associated with the assigned subgroup have been traversed. In response to determining that expected number of entries associated with the assigned subgroup have been traversed, it is determined that a last read entry associated with the assigned subgroup does not correspond to a last entry associated with the assigned subgroup. The prefetcher is preempted by stopping the prefetcher from obtaining a list of entries associated with a remaining portion of the assigned subgroup.

Abstract: Techniques and solutions are described for clustering, with reduced memory consumption, observations in a data set. A first observation is received. A distance is determined between the first observation and a first cluster. It is determined that the distance satisfies a threshold, and the first observation is added to a first sample of the first cluster. A first set of means is calculated for the first sample using data of the first observations and data of at least a second observation of the first sample. A second set of means is calculated for the plurality of elements for the first cluster using the first set of means for the first sample and at least a third set of means for at least a second sample of the first cluster. An identifier of the first observation is added to a collection of observation identifiers classified in the first cluster.

Abstract: A computer-implemented method for operating a technical device with the aid of a multi-dimensional characteristic map. The characteristic map is defined by data points, to each of which a characteristic field value is assigned. For reading out the characteristic map, an output value is determined, as a function of an input variable point to be evaluated for the technical device, with the aid of one-dimensional basis functions, which are assigned to each dimension of a data point. The function values of the one-dimensional basis functions respectively have a monotone curve to a neighboring data point, which has the function value 0, and are outside of the neighboring data point 0. The technical device is operated as a function of the output value.

Abstract: A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate until a selected feature set converges or otherwise meets or exceeds a given threshold.

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: A method for storing measurement data detected by a sensor and indicative of an analyte in a body fluid sample using a system having a processor and a memory. First and second measurement data indicative of first and second measurement values measured by a sensor, respectively, are provided. A relative measurement value is determined by the processor and is indicative of a value difference between the first and second measurement values. The first measurement value is stored in a first storage area having a first storage size in the memory. The relative measurement value is stored in a second storage area having a second storage size in the memory that is smaller than the first storage size. An indicator is also stored in the memory and is assigned to the relative measurement storage data in the memory and is indicative of a characteristic of the relative measurement storage data.

Abstract: It is possible to automatically acquire coordinate information and position information regarding a location name or the like on map representation data, in association with each other, with a map representation data processing device including: a map representation data acceptance unit that accepts map representation data; a character string acquisition unit that acquires a character string from the map representation data; a coordinate information acquisition unit that acquires coordinate information corresponding to the acquired character string; a position information acquisition unit that acquires pieces of position information corresponding to pieces of location information that are character strings, using a location dictionary that contains one or more pieces of location position information that associate the pieces of location information and the pieces of position information with each other; and a correspondence output unit that outputs the coordinate information and the position information in as

Abstract: A content management system server can obtain a protocol based data transmission via a computer network from a script that executes at the publisher device server, and can obtain search result content items from an index of electronic documents that include snippets of text extracted from the search result content items and that include hypertext links to the search result content items. The system can extract feature vectors and document identifiers of the search result content items, and can determine information retrieval scores of search result content items. Based on the network identifier, location probabilities of device locations can be ranked and compared to thresholds. The system can determine a confidence threshold representing a minimum degree of certainty of the geographical location of the devices and can select content for protocol based transmission accordingly.

Abstract: A method includes receiving, at a hardware circuit of a device, a target value corresponding to a target data. The method further includes outputting, from the hardware circuit, a first indicator that source data corresponds to the target value. The method further includes, based on the first indicator, outputting, from software executing at the device, a result indicator that the source data corresponds to the target data.

Abstract: A method includes receiving data, flagging outliers in the received data, each of the outliers representing extreme data values in the received data that stand out greatly from an overall pattern of data values at a given scale in the received data, storing the flagged outliers in an outlier file, removing the flagged outliers from the received data, curating the flagged data points with respect to various neighborhood kernel sizes, and further curating data points with small perturbations using contextual custom regression techniques as a second order refinement process.