Abstract: A system and method for records management and classification of files in a content management system having a server system that stores the files. A system detects when at least one of the files is classified by a user of a client computing system as a classified file, and based on the detecting of the classification of the one or more files, each classified file is removed from the client computing system. The system further detects when at least one of the files is declared as a permanent record by the user of the client computing system, and based on the detecting of the declaration as a permanent record, prevents editing by the client computing system of each file declared as a permanent record.

Abstract: System, apparatuses, and methods can provide customized exercise sessions and customized videos corresponding to the exercise session. Audio clips can be dynamically selected to make custom audio content for an exercise session. The audio clips and metadata can be obtained, where the audio clips correspond to categories. The exercise session can include one or more components. A destination timeline for a component can include one or more first segments that require audio, and one or more second segments that can optionally have audio. Audio clips can be selected for the various segments, where a segment can be designated for a particular category of audio clips. Identification information for the selected audio clips can be saved and used to generate the custom audio content.

Abstract: The present disclosure provides a method and system to reduce scan time for single user query using a query processing system. The query processing system receives a first set of data. In addition, the query processing system obtains a second set of data. Further, the query processing system fetches a third set of data. Furthermore, the query processing system stores the first set of data, the second set of data, and the third set of data in a first shard of a plurality of shards. Moreover, the query processing system collects the first set of data, the second set of data, and the third set of data in a first memory region of a plurality of memory regions. Also, the query processing system receives a query request from an administrator. Also, the query processing system scans the first memory region of the plurality of memory regions of the first shard.

Abstract: The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.

Abstract: One or more computer processors match a query pattern to a received query; context information related to the received query; retrieve a set of query records including the same context information as the obtained context information from an index knowledge base, wherein each query record in the set of query records include context information related to a respective history query, the query pattern, an index type associated with the query pattern, and performance information relating to the query pattern and the index type; determine that a subset of the retrieved query records includes one or more query patterns equivalent to the matched query pattern; select a query pattern and an associated index type from the subset of query records based on associated performance information in the set of query records; and perform the received query by applying the selected query pattern and the associated index type.

Abstract: Various embodiments provide methods and devices for utilizing content conversion for the communication of content. In an embodiment, method, performed by a user device, includes receiving a user input comprising one or more user preferences to facilitate at least one output content; Further, the method includes receiving at least one input content from at least one content source based on the one or more user preferences. Thereafter, the method includes separating the at least one input content from the at least one content source using delimiters, and generating the at least one output content from the at least one input content based on one or more content characteristics. The at least one output content has data size less than the data size of the at least one input content. Furthermore, the method includes transmitting, the at least one output content to another user device.

Abstract: Methods, systems, and computer-readable media for batch processing with random access for transaction history are disclosed. A batch processing system receives a batch comprising records of events, including a first record of a first event and a second record of a second event. The system assigns the first and second records to a group based (at least in part) on determining that the events are related. The system determines that the group is related to a match set comprising one or more prior events. The system updates one or more values in the match set based (at least in part) on the first and second records. The system stores the updated match set and one or more additional match sets using a storage object. The system retrieves the match set and not the one or more additional match sets from the storage object using an index.

Abstract: A method of information retrieval is provided. The method comprises receiving a query from a user and parsing the query in real-time as the user enters the query. The parsed query is interpreted dynamically based on a defined schema of a knowledge base, and a number of query interpretations is displayed in real-time as the user enters the query. When a selection of one of the query interpretations is received from the user information is retrieved from the knowledge base according to the selected query interpretation.

Abstract: Systems, methods, and computer program products for search platforms for unstructured interaction summaries. An application executing on a processor may receive a query comprising a term. The application may generate, based on an embedding vector and the term, an expanded query comprising a plurality of additional terms. The application may generate, based on a term frequency inverse document frequency model, a vector for the expanded query and generate an entity vector for the query. The application may generate a combined vector for the query based on the entity vector and the vector for the expanded query. The application may compute, based on the combined vector for the query and a feature matrix of a corpus, a respective cosine similarity score for a plurality of results in the corpus. The application may return one or more of the plurality of results as responsive to the query based on the similarity scores.

Abstract: This application relates to apparatus and methods for generating preference profiles that may be used to rank search results. In some examples, a computing device obtains browsing session data and determines items that were engaged, such as items that were viewed or clicked. The computing device obtains item property data, such as product descriptions, for the items, and applies a dependency parser to the item property data to identify portions that include certain words, such as nouns or adjectives, which are then identified as attributes. The computing device generates attribute data identifying portions of the item property data as item attributes. In some examples, the computing device applies one or more machine learning algorithms to the session data and/or search query to identify item attributes. The computing device may generate a profile that includes the item attributes, and may rank search results based on the attribute data, among other uses.

Abstract: A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: Methods and systems for index lifecycle management are provided. Exemplary methods include: receiving an ILM policy; determining a first condition and a first action for a first phase using the ILM policy; performing the first action for the first phase when the first condition is met; transition from the first phase to a second phase; determining a second condition and a second action for the second phase using the ILM policy; performing the second action for the second phase when the second condition is met; transition from the second phase to a third phase; determining a third condition and a third action for the third phase using the ILM policy; performing the third action for the third phase when the third condition is met; transition from the third phase to a fourth phase; and deleting the index during the third phase.

Abstract: Examples described herein may perform various operations based on mood congruency. An example method involves accessing, by a processor, from a database, a score that represents a degree of congruency between a first mood vector that describes first media data and a second mood vector that describes second media data, wherein the score is generated based on (i) a first value that the first mood vector associates with a first mood, (ii) a second value that the second mood vector associates with a second mood, and (iii) a degree of congruency between the first and second moods, based on the score, comparing, by the processor, a first characteristic of the first media data, other than the first mood, with a second characteristic of the second media data, other than the second mood, and based at least in part on an output of the comparing, providing an indicator to a module.

Abstract: There is provided a method for processing electronic documents. The method includes: receiving a plurality of electronic documents stored in a file container created based on a file system; retrieving metadata from the file container, the metadata indicating forensic information about the plurality of electronic documents; applying an interactive filtering to the metadata according to user inputs; and selectively extracting one or more electronic documents from the file container according to results of the interactive filtering.

Abstract: Presently disclosed are systems and methods for generating customized filtered-and-partitioned market-data feeds. In an embodiment, an output-feed profile is maintained in data storage at a market-data-processing device (MDPD). The output-feed profile specifies a subset of ticker symbols and a ticker-symbol-based feed-partitioning scheme. An input feed of order-book updates to ticker symbols is received at the MDPD from an upstream device. At the MDPD, a customized market-data output feed is generated according to the maintained output-feed profile at least in part by filtering the input feed down to the order-book updates to ticker symbols in the specified subset and partitioning the filtered feed according to the specified ticker-symbol-based feed-partitioning scheme. The customized market-data output feed is transmitted from the MDPD to a downstream device.

Abstract: Creating a playlist of multimedia assets based on estimated user viewing length and an estimated length of engagement during a user session. Assets are selected based on an anchor asset displayed with the playlist of multimedia assets.

Abstract: Embodiments as disclosed herein allow simple specification of searches of values within regions and efficient implementation of such searches. Specifically, embodiments as disclosed may provide a search operator that addresses the problem of complex query construction for finding objects having a particular value, including a minimum or a maximum value, in one of a set of regions, and the efficient implementation of the searches specified by such search operators.

Abstract: The present disclosure relates to processing operations configured to uniquely utilize indexing of content to improve content retrieval processing, particularly when working with large data sets. The techniques described herein enables efficient content retrieval when working with large data sets such as those that may be associated with a plurality of tenants of a data storage application/service. Among other technical advantages, the present disclosure is applicable to train a classifier using relevant samples based on text search in tenant-specific scenarios, where accurate searching can be executed for content associated with one or more tenant accounts of an application/service concurrently in milliseconds even in instances where there may be millions of documents to be searched. As an example, exemplary data shards may be generated and managed for efficient and scalable content retrieval processing including training of a classifier (e.g.

Abstract: Solutions for automated labeling of child objects within tagged parents include: receiving a plurality of parent objects, each having a tag and including a plurality of child objects; receiving a machine learning (ML) component operable to rank objects according to relevance to queries; for each parent object: generating a set of restricted objects, wherein each restricted object corresponds to each child object in the plurality of child objects; for each of a plurality of queries, ranking, with the ML component, the restricted objects according to relevance; based at least on the query and an inverse of the rank of the restricted objects, assigning a child object label.

Abstract: A method includes executing an instruction to execute a query for a data block, the data block associated with a corresponding memory level of a logarithmic number of memory levels (li) of memory, each memory level (li) including physical memory (RAMi) residing on memory hardware of a distributed system. The method also includes retrieving a value associated with the data block from an oblivious hash table using a corresponding key, and extracting un-queried key value pairs from the oblivious hash table associated with un-queried data blocks after executing a threshold number of queries for data blocks. The method also includes a multi-array shuffle routine on the extracted key value pairs from the oblivious hash table to generate an output array containing the un-queried key value pairs.