Abstract: Computerized systems, and method and computer readable media that store instructions for history based face recognition.

Abstract: A computer executes a display procedure of displaying a list of character strings registered in advance in response to a predetermined operation for data forming a part of a web page; and a storage procedure of storing a character string selected by a user from the list into a storage device in association with the data, to thereby achieve more efficient labeling of data.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for sharing and publishing files. In one aspect, the database system can maintain a user database, a file database and a library. The database system can receive a first request initiated by a first user to share a first file with one or more second users and, responsive to the first request, enable a second set of one or more permissions for each of the second users. The database system also can receive a second request initiated by the first user to publish the first file to the library and, responsive to the second request, publish the first file to the library. The database system additionally can restrict access to the published file based on permissions associated with the library.

Abstract: The instant disclosure provides a data structure store system and a method of managing data in the store. The method includes receiving, by a data structure store management system, a request for storing data from a client. In the created data structure, each data element includes a portion of the data. On receiving a read request for at least part of the data, the data structure store management system provides at least part of the data to a recipient device. The data elements are stored in persistent memory in the form of one or more non-volatile random access devices, wherein during a time interval between receiving the storing request and providing the at least part of the data by the data structure store management system to the recipient device, the data structure store management system provides no portion of the data for writing to a hard disk drive.

Abstract: A method performed by a computing device includes generating a comparative query entigen group set based on a comparative query in accordance with identigen rules, where the comparative query entigen group set represents a most likely interpretation of the comparative query. The method further includes obtaining a first response entigen group from a knowledge database based on a first comparative query entigen group of the comparative query entigen group set, where the first response entigen group substantially includes the first comparative query entigen group. The method further includes obtaining a second response entigen group from the knowledge database based on a second comparative query entigen group of the comparative query entigen group set, where the second response entigen group substantially includes the second comparative query entigen group. The method further includes generating a comparative response based on the first response entigen group and the second response entigen group.

Abstract: A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

Abstract: Extract, Transform, Load (ETL) processing may be initiated by detected events. A trigger event may be associated with an ETL process apply one or more transformations to a source data object. The trigger event may be detected for the ETL process and evaluated with respect to one or more execution conditions for the ETL process. If the execution conditions for the ETL process are satisfied, then the ETL process may be executed. At least some of the source data object may be obtained, the one or more transformations of the ETL process may be applied, and one or more transformed data objects may be stored.

Abstract: A key name generation method includes constructing a member structure library according to a set data structure template and member categories contained in various types of components, wherein the member structure library contains member structure information corresponding to each member category; upon acquiring a reading instruction for data, retrieving, from the member structure library on the basis of a data identifier carried in the reading instruction for the data, target member structure information matching the data identifier; and determining, on the basis of the target member structure information and a structure array identifier contained therein, key description information corresponding to the target member structure information, and taking the key description information as a key name of the data. A key name generation apparatus and a medium are also disclosed herein.

Abstract: An example computing system may operate on episodes stored in an episodic memory using a semantic query language. The semantic query language may associate contextual labels with the data ingested from the data sources. Systems described herein may determine probabilities of an event based on the episodes including previous observations, counts, similarities, anomalies, and causality among many other techniques and methodologies. In some examples, the systems described herein may provide result explanations by providing references to source data pertinent to a given result. The user may provide feedback to the query results and update the semantic query.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for providing a customized representation of a business process involving one or more organizational entities that are accessible through a network. A user interface that can display a customized representation of a business process is provided. User information, including user privileges associated with the business process, is stored in a central repository that is accessible through the network. A request to view the business process is received from a first user through the user interface. The user privileges for the first user are retrieved from the central repository. A customized representation of the business process is displayed with the user interface. The customized representation is in compliance with the retrieved user privileges for the first user.

Abstract: A method for migration of a blockchain to be replaced, called the first blockchain, to a replacement blockchain, called the second blockchain. The migration method comprises: an initialisation of the second blockchain, the initialisation comprising a generation, in a main blockchain configured to supervise access to the first and second blockchains, of a zone of supervision (250) of the second blockchain; the entry of a user comprising a registration in a directory of users in the main blockchain of a secondary address allocated to this user for the connection to the second blockchain; a generation in the second blockchain of a set of blocks of data corresponding to an image of the first blockchain; a switch of all or some of the users of the first blockchain to the second blockchain so as to prevent registration of transactions in the name of these users in the first blockchain and to permit the registration of transactions in the name of these users in the second blockchain.

Abstract: A database storing data associated with an identifier unique to each sample, the data including first data representative of at least one of composition data, processing data, and property data for the each sample, and second data representative of microstructure data for the each sample. The microstructure data includes a feature determined based on a temperature dependence of magnetization for the each sample.

Abstract: Provided are a database processing method and apparatus, and a computer readable storage medium. The database processing method comprises: after a lock wait is generated, writing lock wait related information into a lock wait log.

Abstract: A background music providing method includes: based on a user command for executing a content recognition mode being received, obtaining a data corresponding to the content, reproduced on the display apparatus, in the content recognition mode; transmitting the obtained data to an external source; obtaining information corresponding to the content based on the data from the external source; and displaying a result UI corresponding to the obtained information on the display apparatus.

Abstract: Methods and systems for providing data assessment across related datasets, including identifying exceptional values in datasets and assessing upstream and or downstream datasets that utilize the exceptional values. Data assessment rules use exceptional values found in a dataset and data lineage information to identify impacted data in upstream or downstream datasets.

Abstract: Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.

Abstract: In an embodiment, multiple computers cooperate to retrieve content from tables in a relational database. Each table contains respective rows. Each row contains a vertex of a graph. Many high-degree vertices are identified. Each high-degree vertex is connected to respective edges in the graph. A count of the edges of each high-degree vertex exceeds a degree threshold. A central computer detects that all vertices in a high-degree subset of tables are high-degree vertices. Based on detecting the high-degree subset of tables, multiple vertices of the graph that are not in the high-degree subset of tables are replicated. Within local storage capacity limits of the computers, this degree-based replication may be supplemented with other vertex replication strategies that are schema based, content based, or workload based. This intelligent selective replication maximizes system throughput by minimizing graph data access latency based on data locality.

Abstract: In a distributed database, a transaction is to be committed at a first coordinator server and one or more participant servers 1210. The first coordinator server is configured to receive a notification that each participant server of the transaction is prepared at a respective prepared timestamp, the respective prepared timestamp being chosen within a time range for which the respective participant server obtained at least one lock 1220. The first coordinator server computes the commit timestamp for the transaction equal or greater than each of the prepared timestamps 1230, and restrict the commit timestamp such that a second coordinator server sharing at least one of the participant servers for one or more other transactions at a shared shard cannot select the same commit timestamp for any of the other transactions 1240. The transaction is committed at the commit timestamp 1250.

Abstract: The present embodiments relate to metadata value-based mapping during a data load in a data integration job. A computing device can receive a first data set from a source system and computer-readable instructions to load data into a target system. The device can receive a first metadata set from the target system that describe destinations. The computing device can identify a first data value of the first data set that matches a metadata value of the first metadata set. The device can receive a data integration mapping of the second data value of the first data set to a data field associated with the matching metadata value of the first metadata set. The device can load the second data value of the first data set from the source system into the target system pursuant to the mapping and the computer-readable instructions.