Abstract: A graphical classification method for classifying graphical structures, said graphical structures comprising nodes defined by feature vectors and having relations between the nodes. The method includes representing the feature vectors and relations as a first graphical representation. The method also includes mapping said first graphical representation into a second graphical representation wherein the mapping comprises using an attention mechanism, said attention mechanism establishes the importance of specific feature vectors dependent on their neighbourhood and the relations between the feature vectors, said mapping transforming the feature vectors of the first graphical representation to transformed feature vectors in the second graphical representation. The method also includes combining the transformed feature vectors to obtain a third combined representation said third combined representation being an indication of the classification of the graphical structure.

Abstract: A search engine may perform a search for a user search query over a number of possible search categories. For example, the search query may be performed for general web documents, images, and news documents. The search engine ranks categories based on the search query and/or the documents returned for each category and presents the search results to the user by category. Higher ranking categories may be presented more prominently than lower ranking categories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

Abstract: Techniques perform data backup. Such techniques involve: in response to a first storage node to be switched to a second storage node, determining whether there is an ongoing data backup operation between the first storage node and a third storage node; and in response to the ongoing data backup operation between the first and third storage nodes, ceasing the data backup operation. The second storage node is used for backing up data of the first storage node in real time and the third storage node is used for backing up the data of the first storage node periodically. Accordingly, colliding operations can be prevented, system resource can be saved and processing efficiency can be improved.

Abstract: A data analytics system configured to perform operations is disclosed. The operations can include creating, in response to instructions received from a user, a first pipeline. This pipeline can be configured to extract data from an append-only first data store, extract identifying characteristics from the extracted data, provide the identifying characteristics to an identity service, and receive a tenancy identifier from the identity service. The pipeline can further be configured to create a data object in a second data store using the extracted data; create a tenancy object in a metadata store, the tenancy object associated with the data object, the metadata store implementing a hierarchical data object ownership graph; and associate the tenancy object with a parent object in the hierarchical data object ownership graph. The data analytics system can then tear down the first pipeline.

Abstract: There is disclosed a recommendation server comprising a processor configured to: generate a set of recommendations for a user; allocate a weighting to each recommendation; and transmit a recommendation message to a user terminal of the user, the recommendation message including the recommendations and their associated weightings.

Abstract: A method includes causing display of events that correspond to search results of a search query in a table. The table includes rows representing events comprising data items of event attributes, columns forming cells with the row, the columns representing respective event attributes, and interactive regions corresponding to one or more data items of the displayed data items. The method also includes in response to the user selecting a designated interactive region, causing display of a list of options, each displayed option corresponding to an interface template for composing query commands, and based on the user selecting an option in the displayed list of options, causing one or more commands to be added to the search query, the one or more commands composed based on the one or more data items that corresponds to the designated interactive region according to instructions of the interface template of the selected option.

Abstract: A client system can improve processing speeds by executing queries locally. A remote database can have a partitioned, columnar database. Queries from the client can be executed on the remote database, and blocks of a partition of the partitioned, columnar database can be sent to the client. Once the client has enough blocks to form the partition, the client can execute queries that reference the partition. The queries can be executed using templates for specialized expression evaluators.

Abstract: Affinity scores are computed for a plurality of user accounts, each affinity score quantifies an affinity of a user account to a content creator of one or more digital objects hosted in a content hosting platform. Each affinity score is computed by collecting interaction data for the user account corresponding to the content creator, normalizing the collected interaction data using a total activity data of the user account on the content hosting platform and attribute data associated with the content creator, and generating the affinity score using the normalized interaction data.

Abstract: Method and systems are disclosed for presenting media asset identifiers retrieved based on a user search criteria. User's input of a first information, a second information, and a third information is received. The system identifies an information type associated with each received information. If the first information and the third information are associated with the same information type, a first query is created that combines the first information and the third information to retrieve media asset identifiers according to information type instructions associated with the first information type. The second information is integrated into the first query. If the second information and the third information are associated with the same information type, a second query is created that combines that second information and the third information to retrieve media asset identifiers according to instructions associated with the second information type. The first information is integrated into the second query.

Abstract: Systems and methods for identifying related videos based on elements tagged in the videos are presented. In an aspect, a system includes an identification component configured to identify tagged elements in a video, a matching component configured to identify other videos that include one or more of the tagged elements, and a recommendation component configured to recommend the other videos for viewing based on a current or past request to play the video.

Abstract: Systems, methods, and computer-readable media for generating higher level summary tablature based on lower level tablature are disclosed. The systems and methods may involve at least one processor configured to: receive a selection of at least one item contained on both a first board and a second board; detect a first type of information; detect a second type of information; detect a third type of information; detect a fourth type of information; analyze characteristics to ascertain that the first type of information is aggregable with the third type of information, and that the second type of information is aggregable with the fourth type of information; present the at least one item on a third board; and aggregate on the third board, the first type of information with the third type of information, and the second type of information with the fourth type of information.

Abstract: Analytical methods and systems applied to a plurality of input files to understand and explain crucial factors leading to customers jumping, or hopping, from one channel to another channel. The methods and systems described may include receiving a first file associated with a first channel dataset and receiving a second file associated with a second channel dataset. The methods and systems described may include merging the two datasets based on key fields found within the metadata of the two files. In some embodiments, additional statistical metrics and measures may be applied to the merged dataset to both rank the merged events and to display the characteristics of each event within the entire merged dataset.

Abstract: Properties of one or more databases of nodes of a database system are automatically discovered. The automatically discovered properties for at least one of the databases include a database architecture and a corresponding failover role for each of at least some of the nodes. Based at least in part on the discovered properties, a corresponding one of the nodes as a corresponding backup source node is selected for each of the one or more databases. One or more database backups are allowed to be performed via the one or more selected backup source nodes.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

Abstract: Conversational virtual assistance for delivering relevant query solutions is provided. A virtual assistant system comprises various components associated with developing a knowledge database that can be searched for finding documents that fulfill the user's intent. The virtual assistant system further comprises components for receiving a query from a user, extracting entities for understanding the user's intent, and for searching a knowledge database for documents responsive to the query. When additional information is needed for determining more relevant results, a conversation strategy is determined, and a question is formulated for generating a conversation with the user for clarifying the user's intent, confirming a solution, or obtaining additional information. The user is enabled to provide a follow-up response that is related to a previously identified entity. The entity is edited in the query, and responses are refined responsive to the edited query.

Abstract: An apparatus and method for managing an application in a digital device are provided. The method includes receiving Appcessory identification information from an accessory device if the accessory device is connected to the digital device; searching, based on the Appcessory identification information, for at least one application having a function of controlling the accessory device from among at least one application installed in the digital device; and displaying application information associated with the at least one searched application according to a result of the search.

Abstract: Techniques are provided for an object file system for an object store. Data, maintained by a computing device, is stored into slots of an object. The data within the slots of the object is represented as a data structure comprising a plurality of nodes comprising cloud block numbers used to identify the object and particular slots of the object. A mapping metafile is maintained to map block numbers used to store the data by the computing device to cloud block numbers of nodes representing portion of the data stored within slots of the object. The object is stored into the object store, and the mapping metafile and the data structure are used to provide access through the object file system to portions of data within the object.

Abstract: Techniques are provided for an object file system for an object store. Data, maintained by a computing device, is stored into slots of an object. The data within the slots of the object is represented as a data structure comprising a plurality of nodes comprising cloud block numbers used to identify the object and particular slots of the object. A mapping metafile is maintained to map block numbers used to store the data by the computing device to cloud block numbers of nodes representing portion of the data stored within slots of the object. The object is stored into the object store, and the mapping metafile and the data structure are used to provide access through the object file system to portions of data within the object.

Abstract: Techniques are provided for managing objects within an object store. An object is maintained within an object store. The object comprises a plurality of slots. Each slot is used to store a unit of data accessible to applications hosted by remote computing devices. The object comprises an object header used to store metadata for each slot. A determination is made that the object is a fragmented object comprising an in-use slot of in-use data and a freed slot from which data was freed. The object is compacted to retain in-use data and exclude freed data as a rewritten object.