Abstract: The disclosure relates to a method for providing a scraping-based service. The method for providing a scraping-based service includes: requesting and receiving at least one of scraping rule information defining a series of tasks for obtaining external data; collecting the external data by executing tasks according to the received rule information; and providing service information to a user using the collected external data. According to the disclosure, by providing a scraping service through a client terminal and a remote server in a distributed manner, it is possible to increase efficiency of a scraping task and actively cope with changes in a scraping target.

Abstract: Provided is a system and method for automated recommendation of new features for addition to an item based on user-generated feedback. In one example, the method may include receiving, via a user interface, a search query associated with an object, retrieving user-generated content that describes the object based on the received search query, identifying, via a machine learning model, one or more features to be added to the object based on the retrieved user-generated content, and outputting identifiers of the one or more features to be added to the object via the user interface.

Abstract: Processes and apparatuses for content personalization are provided, providing for rule configuration. Content personalization systems interpret user behavior and attributes along with the content users are interacting with, to build optimized predictive models of what content the user may want to see next. Those predictive models can be utilized to personalize content in one or more environments, including email, mobile and applications. Rules include filters applied to the predictive model output and/or the overall system output. Filters can be prioritized and iteratively applied or removed to adjust system output to satisfy desired result set criteria.

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 involves receiving search queries, having search terms, submitted to at least one computerized search engine. For each query, a corresponding pairwise relation in the search queries is calculated. The corresponding pairwise relation is a corresponding probability of a potential edge relationship between at least two terms. Thus, potential edges are formed. A general graph of the terms is constructed by selecting edges from the potential edges. The general graph is nodes representing the terms used in the search queries. The general graph also is edges representing semantic relationships among the nodes. A hierarchical graph is constructed from the general graph by altering at least one of the edges among the nodes in the general graph to form the hierarchical graph.

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: A data redistribution method, apparatus and a database cluster includes at least one first node, and an original table is stored on the at least one first node. A data redistribution process for redistributing the original table to the at least one first node and a second node is started, and the data redistribution process includes: starting a first transaction for creating a temporary table on the at least one first node and the second node, and associating an import operation for the original table with an import operation for the temporary table; starting a second transaction for selecting an old tuple from the original table based on a transaction identifier of the first transaction, and redistribute the selected old tuple to the temporary table. After the second transaction ends, metadata of the original table and metadata of the temporary table are exchanged.

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

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: A system and method for automatic generation of a data tree structure are disclosed. A database stores contract metadata associated with a plurality of contracts. The metadata includes relationship information data regarding parentage and/or child relationship between a particular contract and other contracts among the plurality of contracts. A processor operatively connects to the database via a communication network and accesses the database via the communication network to retrieve the contract metadata including the relationship information data. The processor also implements a search engine; stores the retrieved contract metadata including the relationship information data onto the search engine for creating a linkage between data points; and automatically generates, based on the created linkage between the data points, both an application programming interface (API) and a data tree structure that displays inter-dependency between two or more sets of contracts among the plurality of contracts.

Abstract: Described herein are techniques and systems for retrieval of content using link-based searches. Embodiments herein include receiving, by a server, a request including a hyperlink directed to a source content. The server may determine whether a database associated with the server comprises the hyperlink. The database stores information of multiple entities each corresponding to one or more hyperlinks. In response to a determination that the database includes the hyperlink, the server may identify an entity corresponding to the hyperlink and provide information of the entity to the computing device. In some embodiments, in response to a determination that the database does not include the hyperlink, the server may identify related web content and return results to user.

Abstract: A multi-master replication system is disclosed. The multi-master replication system allows a large set of peer instances to collaboratively replicate data to each other. According to an example, a change detection thread running on a first server associated with a first instance of multiple instances of a replicated database monitors for changes to any of multiple records within one or more shared tables of the replicated database. Responsive to detection of a change to a record, an item is stored by the change detection thread onto a queue containing information regarding the change. Groups of changes are packaged into multiple chunks, in which each chunk (i) corresponds to a discrete unit of progress for both change detection and transport; (ii) is associated with multiple changed records; (iii) contains metadata about the multiple changed records; and (iv) does not contain data from the one or more shared tables.

Abstract: Generally, the present disclosure relates to solving issues with inefficient management of data within an organization by building a central repository of events within the data ecosystem. The data event management system, disclosed herein, offers a platform agnostic ledger of the data ecosystem that enables data transparency and identifies patterns/bottlenecks to properly adjust to meeting the needs of the data consumer. With this information, data driven decisions can be made to prioritize workload and ensure funding is supporting the consumer prioritized assets.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for determining conditions for a set of webpages. The program and method provide for receiving a first set of URLs, each URL of the first set corresponding to a respective webpage of a web site, the first set corresponding to a subset of webpages that comprise the website; identifying repeating patterns of field values in the first set; determining positive conditions that characterize the first set; determining, from the web site webpages other than those in the first set, a second set of URLs that satisfy the positive conditions; identifying repeating patterns of field values in the second set; determining positive conditions that characterize the second set; and computing negative conditions for the first set, by subtracting the positive conditions characterizing the second set from the positive conditions characterizing the first set.

Abstract: A portion of contents of a database is received from a first server. The received contents of the database is stored in a secondary storage system that tracks changes between different backup versions of contents of the database. A request to migrate the contents of the database to a second server is received. A version of contents of the database is provided to the second server using the secondary storage system. The secondary storage system is configured to determine an amount of changes to the database content from one of the versions of the database content provided to the second server and the amount of changes is utilized in determining whether to quiesce the database hosted on the first server.

Abstract: Provided is a method, performed by an information processing device, of processing information by using an Internet of things (IoT) device, the method including: receiving, from a user, a web search query; fetching context information of at least one IoT device related to the web search query; automatically generating a synthetic web search query including the web search query and the context information of the at least one IoT device; and determining a control to be applied to the at least one IoT device by using a search result regarding the synthetic web search query.

Abstract: Embodiments provide procurement code data management. A data store stores unified code entries, each linked to one or more codebook procurement codes. A user interface engine is configured to receive a search parameter corresponding to the description from a user computing device and to present one or more search results each search result comprising a code entry to the user computing device. A search engine is configured to identify the unified code entry based on the search parameter and the description. A code translation engine is configured to receive the unified code entry, access the code link entry having the unified code identifier as the primary code entry. The one or more search results is determined by selecting references equivalent code entries of the code link entries.

Abstract: Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.

Abstract: A server computing device receives, from a client device, a request for data objects. The server computing device calculates a number of data objects to be returned to the client device based on the request for data and performs a first query with a distributed search engine to search a distributed index for the data objects in the request based on at least a first portion of the number of data objects. The server computing device then write each data object from a first data object set returned by the distributed search engine from the distributed index to an output stream buffer and sends the data objects stored in the output buffer when a first condition is satisfied.

Abstract: Methods, systems, and computer readable mediums for logically remediating infrastructure resource components are disclosed. According to one example, the method includes capturing metadata specifying both a data protection policy applied to an enterprise application supported by a host computing system and a location of backup file data associated with the enterprise application and transferring the enterprise application and the metadata from the host computing system to a target computing system. The method further includes utilizing the metadata to reconstruct the data protection policy for the transferred enterprise application on the target computing system, wherein the metadata specifies a data protection solution for each of a plurality of resource components supporting the transferred enterprise application on the target computing system.