Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.

Abstract: A distributed transaction and data storage platform including a distributed notary ledger or blockchain and one or more individual user micro-identifier chains that together enable the secure effectuation and recordation of one or more transactions, and/or storage of data in an automated, real-time, zero-trust, globally data law and privacy law centric manner while maintaining transaction party confidentiality and preventing chain poisoning.

Abstract: A buried object information management unit manages information about a buried object included in a search image showing the presence or absence of the buried object in a wall surface generated by a buried object scanning device that is scanned along a wall surface, and comprises a data receiving unit, an input unit, and a collation unit. The data receiving unit acquires search information including the search image generated by the buried object scanning device. To the input unit is inputted construction information including position information about the buried object in the wall surface. The collation unit collates the search information acquired by the data receiving unit with the construction information inputted to the input unit, and determines whether or not there is a match.

Abstract: Provided are a method and apparatus for processing map information, a device, and a storage medium which relate to the field of computer technology and, in particular, to the fields of intelligent transportation and computer vision technology. The specific implementation includes that an object in an image for query is recognized to obtain an object recognition result and that a target point of interest matching the image for query is selected from at least one candidate point of interest of an electronic map according to the object recognition result.

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: It is possible to realize navigation that employs map representation data acquired using a captured map photograph, with a map representation data processing device including: a photograph reception unit that receives a map photograph from a terminal device; a determination unit that searches a navigation information group that contains two or more pieces of navigation information that contain map representation data and two or more pieces of correspondence information that are each a set of coordinate information and position information on the map representation data, and determines a piece of navigation information that has a relationship that satisfies a first condition, with the map photograph; and a navigation information transmission unit that transmits the piece of navigation information determined by the determination unit, to the terminal device.

Abstract: Techniques for maintaining and curating memories stored as data objects are described. A computing device receives a data object. The computing device analyzes, using a model, the data object to determine one or more classifications for the data object. The computing device stores the data object and the one or more classifications for the data object in a storage component of the computing device.

Abstract: A backup of a current state of a storage is determined to be initiated. A previous state of the storage storing key-object entries is analyzed to identify parallelization partition identifiers. At least a portion of the partition identifiers is used as boundaries between subgroups of the key-object entries processed in parallel to perform the backup of the current state of the storage.

Abstract: The present disclosure provides a surface mount data conversion method, system, medium and apparatus based on a component three-dimensional database. The surface mount data conversion method based on a component three-dimensional database includes: creating a component 3D database required in a circuit board designing stage and creating a production process template library required in a circuit board production stage; and performing data conversion on the component 3D database and the production process template library to generate a component image library for use in the production stage. The present disclosure can avoid repeated work, achieve real-time update and match of production data, and reduce the error rate caused by the production data during circuit board production.

Abstract: A client application sends an application programming interface call to an interface of a content management system. The call specifies one or more content item search criteria. Sending the call causes the content management system to perform a lookup in a content item index to identify at least one content item that satisfies the one or more content item search criteria. Based on sending the call, the client application receives from the content management system a suggestion to attach the at least one content item to a text being displayed by at the computing system.

Abstract: Metadata of each file of a group of files of a storage and chunk file metadata are analyzed to identify one or more file segment data chunks that are not referenced by the group of files of the storage. Fragmented chunk files to be combined together are identified based at least in part on the one or more identified file segment data chunks. The chunk file metadata is updated with an update that concurrently reflects the removal of at least a portion of the one or more file segment data chunks that are not referenced by the group of files and the combination of the identified fragmented chunk files.

Abstract: A client application sends an application programming interface call to an interface of a content management system. The call specifies one or more content item search criteria. Sending the call causes the content management system to perform a lookup in a content item index to identify at least one content item that satisfies the one or more content item search criteria. Based on sending the call, the client application receives from the content management system a suggestion to attach the at least one content item to a text being displayed by at the computing system.

Abstract: A method for detecting and/or localizing keyboard accessibility failures (KAFs) in a web page is disclosed. A web page is rendered in a browser on a display portion of a computing system. A keyboard navigation flow graph based on based on keyboard-based navigation of a user with the web page. A second point-click navigation flow graph based on mouse-based navigation of the user with the web page. One or more KAFs are determined based on a comparison of the first graphical model with the second graphical model.

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: Systems and methods are provided to process a digital photo and other media. An apparatus to process digital photos can include a tangibly embodied computer processor (CP) and a tangibly embodied database. The CP can perform processing including: (a) inputting a photo from a user device, and the photo including geographic data that represents a photo location at which the photo was generated; (b) comparing at least one area with the photo location and associating an area identifier to the photo as part of photo data; and (c) performing processing based on the area identifier and the photo data.

Abstract: Disclosed are techniques for faceted search queries through interactive graphical objects. A text search query corresponding to a faceted search is received from a user, which is then parsed for keywords. Attributes associated with the keywords are then extracted and used to generate a graphical representation corresponding to the results associated with the text search query. Further user input to refine the query is provided through manipulation of the graphical representation by the user (such as dragging a leg of a table to change the length of legs on a table) corresponding to modification of one or more facets of the faceted search, narrowing the available search results corresponding to the faceted search.

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 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: Embodiments relate to a method for updating query information for tracing a target object from multi-camera including receiving a query information update command including query information for tracing a target object from multi-camera, searching for at least one image displaying the target object among a plurality of images captured by the multiple cameras, and updating the query information of a query image based on the at least one found image, and a multi-camera system performing the same.