Abstract: A workflow executed by a local platform of the content management system can include a remote workflow and a local workflow relating to local content retained in a local repository managed by the local platform of the content management system. A synchronization can be initiated between the local content and a remote copy of the local content to reflect a change to either of the local content or the remote copy in the other of the local content and the remote copy. The remote copy can exist at a location managed by a remote platform of the content management system. Upon detection that the remote workflow has been completed by the location using the remote copy, a resumption of the local workflow can be triggered using the synchronization between the local content and the remote copy of the local content. Related systems, methods, products, etc. are described.

Abstract: Herein is high availability for online transaction processing with redundancy and redo for a federation of pluggable databases and container databases. In an embodiment of a federation of container database management systems that includes a first container database, first redo data of a first pluggable database in a second container database is obtained based on a database dictionary in the first container database. To the first pluggable database in the first container database, the first redo data of the first pluggable database in the second container database is applied. Based on the database dictionary in the first container database, second redo data of a second pluggable database in a third container database is obtained. To the second pluggable database in the first container database, without modifying content of the first pluggable database in the first container database, the second redo data of the second pluggable database in the third container database is applied.

Abstract: The invention generally relates to systems and methods for automatically generating websites and related marketing assets using generative artificial intelligence that requires minimal user input, and which does not require the technical skills and expertise that is traditionally needed to develop websites.

Abstract: A method and system for automating analysis of log data files is disclosed. In some embodiments, the method includes pre-processing a log data file to generate a transformed log data file. The method further includes analyzing the transformed log data file to detect one or more of a plurality of anomalies in the transformed log data file; performing a predictive analysis for the one or more of the plurality of anomalies detected in the transformed log data file. The method further includes generating a report based on the predictive analysis performed for each of the one or more of the plurality of anomalies; receiving a feedback from an end-user based on the report generated for each of the one or more of the plurality of anomalies; and updating a database based on the feedback from the end-user for each of the one or more of the plurality of anomalies.

Abstract: Resource utilization of an automated content recognition (ACR) system can be optimized by delaying the identification of certain large quantities of media cue data. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical workflow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.

Abstract: A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

Abstract: An invoice or other document is automatically classified, for example to identify a vendor or other entity associated with the document, based on geometric characteristics of the document. Geometric information extracted from incoming images of documents is used to reconstruct a unique template, thereby providing a mechanism for automatically classifying newly received documents, for example to determine which vendor is their source. The template for a target document is expressed as a feature vector, which can then be compared with feature vectors previously generated for reference documents, to provide a basis for determining similarity between the target document and various reference documents.

Abstract: A computer-implemented method and a content characterization system (CCS) for dynamically characterizing a website rendered in one or more of a plurality of languages are provided. The CCS receives website data, analyzes it for characterization of the website, and generates multiple structured data objects with a core object that the CCS connects with the website. When changes are made to the website, the CCS dynamically incorporates the changes into the structured data objects connected with the core object. When a search query is received from a querying network entity, the CCS communicates relevant structured data objects to the querying network entity to answer the query optimally, thereby providing an optimal characterization of the website.

Abstract: Disclosed in embodiments of the present invention are a processing method and apparatus based on an interest tag, a device, and a storage medium. The method comprises: in a process of displaying an information flow in a preset application program, detecting that an interest tag display event is triggered; and displaying a first page, and dynamically switching and displaying, in the first page, different subsets in a preset interest tag set, wherein the number of interest tags in the subsets is more than one and is smaller than the total number of interest tags in the preset interest tag set.

Abstract: A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for content recommendation. A method for content recommendation includes determining a similarity between a first recommendation result and a second recommendation result for a content set. The first recommendation result and the second recommendation result are determined based on different recommendation techniques and respectively indicative of a recommendation degree for each content in the content set. The method further includes adjusting the second recommendation result using the similarity. In addition, the method further includes determining a target recommendation result for the content set based on the first recommendation result and the adjusted second recommendation result. In this manner, the accuracy and stability of the finally obtained recommendation results can be improved.

Abstract: A data access event may be recognized, using a browser plug-in, wherein the data access event constitutes a reference to previously obtained data. As a result of recognizing the event, the plug-in may send, to a search engine of a data exchange, a set of extracted terms. The plug-in may receive a set of related data listings related to the set of extracted terms. Upon a selection of a data listing from the set of related data listings, the plug-in may install the data listing to an account.

Abstract: Idle periods may be for management actions at processing clusters for managed databases. A leader node of a processing cluster for a managed database may monitor a network endpoint at a proxy service associated with a database managed by the database service. An idle period for the database may be detected. A management action for the processing cluster may be determined to be performed during the detected idle period. The leader node may cause the determined management action to be performed.

Abstract: A method for end-to-end event flows includes storing a file associated with a source event at a source storage location in a source edge device, uploading the file to a cloud device, storing the file at a cloud storage location, generating a cloud event by changing a file path referenced in the source event to point to the cloud storage location of the file, and transferring the cloud event to the cloud device. The method includes transferring the cloud event to a destination edge device, downloading the file to the destination edge device, generating a destination event by changing the file path referenced in the cloud event to point to a destination storage location of the file, publishing an availability of the file in the destination edge device to multiple destination subscribers, and transferring the file from the destination storage location to one or more destination subscribers.

Abstract: A method for detection of misinformation without the need to analyze any articles (HINTS) includes forming a mixed graph containing at least two different node types, such as users and articles, with edges between users and articles, and with user weights for user nodes and article weights for article nodes. Seed nodes are planted for at least one user node and at least one article node. User weights and article weights are manually assigned to the seed nodes, then neighborhoods are defined for the seed nodes. A HITS-like algorithm is then run for a predetermined number of rounds updating both people and articles, while keeping the weights of the seed nodes constant to converge the graph for the weights of articles and users. Finally, a set of highest weights for users and/or articles is outputted and possible remedial action can be taken.

Abstract: Systems and methods for machine learning-informed response and augmentation of incomplete queries and query artifacts that include executing parallel search engines in a machine learning pipeline based on an input of a query to retrieve one or more corpora of candidate digital artifacts, constructing a merged corpus of candidate digital artifacts based on the retrieved corpora of digital artifacts, ranking each candidate digital artifact of the merged corpus of candidate digital artifacts based on a computed relevance to the input query, and returning, via a user interface, a response to the input query based on a subset of prioritized candidate digital artifacts most relevant to the input query.

Abstract: Embodiments relate to a system and method to plan preparation of a meal that may include more than one dish. Online recipes are obtained from a database based on criteria set by the user. Recipes are analyzed for time and effort requirements at each step. If a meal includes more than one dish, a merge of the timelines is performed to determine if it is feasible to prepare all dishes concurrently. Suppliers that can supply all ingredients required by the recipes that meet all user criteria are recommended to the user.

Abstract: The present disclosure is generally directed to methods, apparatus, and computer-readable media (transitory and non-transitory) for learning to automatically navigate interactive web documents and/or websites. More particularly, various approaches are presented for training various deep Q network (DQN) agents to perform various tasks associated with reinforcement learning, including hierarchical reinforcement learning, in challenging web navigation environments with sparse rewards and large state and action spaces. These agents include a web navigation agent that can use learned value function(s) to automatically navigate through interactive web documents, as well as a training agent, referred to herein as a “meta-trainer,” that can be trained to generate synthetic training examples. Some approaches described herein may be implemented when expert demonstrations are available. Other approaches described herein may be implemented when expert demonstrations are not available.

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: Systems and methods are disclosed for processing and executing queries against one or more dataset sources, where the queries identify a set of data to be processed and a manner of processing the set of data. To query the dataset sources, a query coordinator generates a query processing scheme that includes a dynamic allocation of multiple layers of partitions. The query is then executed based on the query processing scheme.