Abstract: A device for providing tourism information and a method thereof are proposed. The method of operating an electronic device configured to provide the tourism information about a cultural heritage includes obtaining user information, providing first tourism information corresponding to the user information from a pre-stored tourism database, and providing second tourism information on the basis of the user information, wherein the second tourism information is information related to the first tourism information.

Abstract: Embodiments of the present disclosure relate to an information presentation method and an apparatus, a device, and a medium. The method includes the steps described below. Collection information of at least one collection is acquired. The collection information includes title information of each collection and attribute information of multiple entities in the each collection. Attribute information of each entity matches the title information of the each collection. All or part of the collection information of the at least one collection is presented.

Abstract: A user interface of an online system is generated based on search for relevant items that match ingredients of a recipe. After receiving, from a device associated with a user of the online system, a query for an ingredient of a recipe, the online system identifies, based on one or more attributes in the query, a set of candidate items for the ingredient. The online system generates a recipe relevance score for each candidate item by applying a weighted sum of scores, ranks the identified candidate items based on their recipe relevance scores, and selects one or more items for presentation to the user. The online system then generates a user interface of the device with a recipe page including the ingredient of the recipe and the one or more items that match the ingredient of the recipe.

Abstract: Techniques are described for automatically converting a standard operating procedure (SOP) into a simulatable non-ambiguous single state machine (SSM) architecture in which a given input (transition condition) necessarily and unambiguously moves the system from a first state to a predictable second state. By converting a written SOP into a simulatable non-ambiguous SSM architecture, the techniques described herein reduce the possibility of errors and improve the safety, efficiency, and operational performance of the system. The described techniques also allow the architecture, and indeed the entire system, to be simulated.

Abstract: A data creation device that is a training data creation device for creating training data which is used for deep learning of an object detection program for detecting whether or not an object is included in an image, includes: an acquisition unit that acquires an anchor that is information on a frame specifying an area for each cell for detecting presence or absence of the object from the image; and a creation unit that associates area information of the object with image data to create the training data that includes a plurality of image data in which the area information is included. The creation unit determines a frame of the area information, based on a position of the anchor.

Abstract: A computer-implemented method of providing targeted content to a user includes generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment.

Abstract: Systems and methods for an active-active mirrored artificial intelligence architecture are disclosed. In some implementations, the system identifies, for an inference request from a user, at least two geographically separate compute clusters configured to handle the inference request, each compute cluster storing a version of an artificial intelligence model for processing the inference request. The system determines, from the inference request, a data consistency requirement mapping the inference request to one or more data consistency types. The system determines, for each compute cluster, a composite metric based on, among other things, a consistency freshness score of the compute cluster. The system routes the inference request to a selected compute cluster having a lowest composite metric subject to a constraint that the consistency freshness score for the compute cluster satisfies the data consistency requirement for the inference request.

Abstract: Embodiments disclosed herein provide a computer-implemented method including operations of executing a first query against a nodal graph resulting in retrieval of a state node, wherein the state node includes state information in the nodal graph, wherein the first query is comprised of a first trigger that represents a predetermined condition, determining whether the first trigger forms a portion of a first rule stored in the nodal graph, wherein the first rule is comprised of the first trigger and a list of one or more actions to be taken when the predetermined condition of the first trigger appears in the nodal graph, responsive to determining that the first trigger forms the portion of the first rule, executing a second query against the nodal graph resulting in retrieval of the first rule, and executing the first rule based on context extracted from the state node.

Abstract: An integrated digital-analog archiving system can automatically initiate a migration process to move electronic documents to a media library. For each electronic document, the system may retrieve the electronic document from a digital data storage medium, extract metadata from the electronic document, determine size, orientation, and format of the electronic document, generate indicators for indicating the start and end of the electronic document to be stored on an analog data storage medium, generate an analog document identifier for identifying the electronic document on the analog data storage medium, generate a scaled image of the electronic document based on the size, orientation, and format of the electronic document, generate a text string based at least in part on the extracted metadata, and render the indicators, the analog document identifier, the scaled image of the electronic document, and the text string on the analog data storage medium.

Abstract: A system for providing localized information using wireless communication features a computing device that interacts with a wireless signal generator in a navigable space. The device receives a location identifier and processes user-entered data linked to that location. It then generates a structured display that organizes multiple data signals, each categorized and arranged in a specific display order. Additionally, the system records contextual data elements and associates them with the structured display and location identifier, creating a comprehensive localized data record. This enables users to access relevant, context-aware information efficiently based on their location and input, enhancing navigation and situational awareness.

Abstract: The method includes: A first device obtains an auxiliary device of the first device; the first device divides to-be-backed up data into N data sets, where N is a quantity of backup devices, and the backup devices include the first device and the auxiliary device of the first device; the first device sends backup information to the auxiliary device, where the backup information includes a data set allocated to the auxiliary device, and the backup information indicates the auxiliary device to send the received data set to a preset cloud platform; and the first device sends a data set allocated to the first device to the preset cloud platform.

Abstract: A method of automated database element processing includes training a wide machine learning model with historical feature vector inputs to generate a wide ranked element output. The method includes training a deep machine learning model with the historical feature vector inputs to generate a deep ranked element output. The method includes generating a set of inputs specific to an individual entity, obtaining a set of current article database elements, and creating a feature vector input according to the set of inputs and the set of current article database elements. The method includes processing the feature vector input with the wide machine learning model to generate a wide ranked element list, processing the feature vector input with the deep machine learning model to generate a deep ranked element list, and merging database elements of the wide and deep ranked element lists to generate a ranked element recommendation output.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for linking third-party applications to a user account on a content management system. In particular, the disclosed systems can receive browsing data related to browsing activity from a user associated with a user account on a content management system via a software extension on a browser application. The disclosed systems can identify a third-party application external to the content management system based on the browsing data. Upon identifying the third-party application, the disclosed systems can provide for display a selectable connector suggestion on a graphical user interface of a client device. In one or more implementations, based on receiving an indication of a selection of the selectable connector suggestion, the disclosed systems can generate a digital connection that communicatively links the third-party application to the user account on the content management system.

Abstract: Systems and methods for file sorting and de-duplication of files in a filesystem. A reverse path crawl may be performed followed by clustering files into file buckets. The clustering may be followed by one or more steps of combining file buckets based on one or more criteria. The merged content of the files in each file bucket may be analyzed and a similarity score may be calculated for each pair of files in the bucket. Based on the similarity score, the system may split each bucket into one or more dissimilar buckets. The dissimilar buckets may have a canonical file selected for each and a canonical file name created/chosen for said selected canonical file.

Abstract: Techniques for selectively aggregating records based on a downstream function to be applied to the records are disclosed. A system obtains an instruction corresponding to a set of records and a function to be applied to the set of records. The system determines whether the function meets a particular criteria for aggregating records prior to transmitting the records to an application for executing the function on the records. If the system determines that the function does meet the records-aggregation criteria, the system stores a set of records in a buffer prior to sending the set of records to the function-executing application. The system sends the set of records to the application together as a group with an instruction to generate a set of function results that includes a separate value for each record in the set of records.

Abstract: The subject technology identifies a series of journey event types in an online user journey, the event types including an impression event, an email event, a click event, and a website visit, and assigns an encoder to each event type. Using an assigned encoder, the technology encodes each event type to generate an encoded vector for each event type. The encoded vector is representative of at least a portion of the online user journey relating to that event type. The technology generates an encoded vector for each event type to create a set of encoded vectors, the set of encoded vectors including one or more of an impression event encoded vector, an email event encoded vector, a click event encoded vector, and a website visit encoded vector.

Abstract: A social media platform provides a map-based graphical user interface (GUI) for accessing social media content submitted for public accessibility via the social media platform supported by the map-based GUI. The GUI includes a map providing interactive location-based searching functionality in that selection of a target location by the user in the GUI, such as by tapping or clicking at the target location, triggers a search for social media content having geo-tag data indicating geographic locations within a geographical search area centered on the target location.

Abstract: Embodiments described herein provide A method of item recommendation at an electronic recommendation system, the method comprising: receiving, via a data interface, a query; generating, via a base neural network based recommender model, a first recommendation of at least a first item based on the query, wherein the first item is associated with a vector of tags; computing a scalar value indicative of a relevance level between the first item and a specific domain based on a multiplication of the vector of tags with a learnable coefficient vector associated with the specific domain; and displaying the first item via a user interface in response to the scalar value surpassing a threshold.

Abstract: Provided are methods and systems for controlling precision of searches. An example method includes receiving, via a user interface associated with a search engine, user input indicating a search precision level, and setting, based on the search precision level, parameters of the search engine to cause the search engine to return, in a response to a search query, search results having the search precision level. The method includes collecting statistical data including a value of the search precision level, a number of executions of the search query by the search adjusted based on the value of the search precision level, and a number of user reactions to results of the executions of the search query. The method includes determining, based on the statistical data, an optimal value of the search precision level for the search query.

Abstract: A method includes providing, by a collaborative electronic data platform, a collaborative electronic document for presentation on a first device of a first user. The collaborative electronic document includes a table associated with a third-party platform. The method includes determining a table synchronization option is activated, and sending via an API, a request to synchronize content of the table in the collaborative electronic document with content associated with the third-party platform. The method includes receiving, via the API, data for the table and updating the table. In response to input of the first user, the method includes adding data to the table and causing the table to be presented on the first device. In response to input of a second user, the method includes adding data to the table and causing the table to be presented on the first device.