Abstract: A processing system, computer program product, and methods for maintaining consistent values of objects in two or more stores. A method includes a data store associating an updated-version-request-time for each object of a plurality of objects, where each object of the plurality of objects resides on a respective another data store. The data store maintains a data structure ordering the plurality of objects by updated-version-request-times. The data store periodically examines the data structure to read updated-version-request-times. The data store makes a decision to request an updated version of an object belonging to the plurality of objects based on an updated-version-request-time of the object. The data structure can be a balanced tree.

Abstract: Some embodiments may include a rating system to generate a structured rating value from aggregated content generated using disparate computer data processing systems, wherein the aggregated content includes structured content from a first computer data processing system of the disparate computer data processing systems and unstructured content from a second different computer data processing system of the disparate computer data processing systems. Other embodiments may be disclosed and/or claimed.

Abstract: Metadata of each file of a group of files of a storage and chunk file metadata are analyzed to identify one or more file segment data chunks that are not referenced by the group of files of the storage. Fragmented chunk files to be combined together are identified based at least in part on the one or more identified file segment data chunks. The chunk file metadata is updated with an update that concurrently reflects the removal of at least a portion of the one or more file segment data chunks that are not referenced by the group of files and the combination of the identified fragmented chunk files.

Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A method and system for generating summary details is provided. The method includes retrieving event data of associated with a user. Attributes are extracted from the event data and the event data is segmented into logical groups of related activities performed by the user. Key information and associated attributes of each logical group are identified and in response the user is evaluated. The logical groups of related activities are ranked and presented to the user. In response, an engagement summary associated with the user and the logical groups is generated.

Abstract: A method and a system for ranking a document in response to a query, the document having no value for a given feature with respect to the query. A set of documents relevant to the query is generated. The document is selected, and a set of past queries having presented the document as a search result are retrieved. Respective values for the given feature for the document with respect to the set of past queries are retrieved. A respective similarity parameter is determined between the query and each of the set of past queries. The value of the given feature for the document is generated based at least in part on the respective similarity parameter and the respective value for the given feature of at least one past query. The set of documents including the document is ranked based in part on the given feature.

Abstract: In one embodiment, the system receives unlabeled data from one or more sensors. The one or more sensors are associated with a computing device of a user. The system clusters the unlabeled data into one or more unlabeled clusters. The system determines, based on one or more rules, at least one label for at least one unlabeled cluster of the one or more unlabeled clusters. The system expands, by a natural language processing algorithm, the at least one label for the at least one unlabeled cluster to produce one or more semantic terms associated with the at least one unlabeled cluster. The system generates, based on the one or more semantic terms, a personalized graph associated with one or more behavioral patterns of the user.

Abstract: A content management system server can obtain a protocol based data transmission via a computer network from a script that executes at the publisher device server, and can obtain search result content items from an index of electronic documents that include snippets of text extracted from the search result content items and that include hypertext links to the search result content items. The system can extract feature vectors and document identifiers of the search result content items, and can determine information retrieval scores of search result content items. Based on the network identifier, location probabilities of device locations can be ranked and compared to thresholds. The system can determine a confidence threshold representing a minimum degree of certainty of the geographical location of the devices and can select content for protocol based transmission accordingly.

Abstract: In implementations of search input generation for an image search, a computing device can capture image data of an environment scene that includes multiple objects. The computing device implements a search input module that can detect the multiple objects in the image data, and initiate a display of a selectable indication for each of the multiple objects. The search input module can then determine a subject object from the detected multiple objects, and generate the subject object as the search input for the image search.

Abstract: Approaches for dynamic file name generation are provided. A computer-implemented method includes: receiving, by a naming server, user input defining a file naming convention; associating, by the naming server, the file naming convention with a user account; receiving, by the naming server, a first request for a file name from a first user device associated with the user account; generating, by the naming server, a first file name using the file naming convention in response to the first request; transmitting, by the naming server, the first file name to the first user device; receiving, by the naming server, a second request for a file name from a second user device associated with the user account, the second user device being different from the first user device; generating, by the naming server, a second file name using the file naming convention in response to the second request; and transmitting, by the naming server, the second file name to the second user device.

Abstract: A dataset's uniqueness level may be calculated by analyzing a dataset to determine a uniqueness level. In cases where the uniqueness level may be too low for a particular purpose, meaning when the dataset may not provide enough anonymity, the dataset may be adjusted by recomputing the dataset with different resolutions of spatial data, temporal data, content data, and relationship data. By adjusting the resolution or accuracy of the data elements, the uniqueness level may thereby be adjusted. An error calculation may be determined by comparing the adjusted dataset to the original data, and the error value may represent the consistency of the data to the original data. The uniqueness level may be used as an assurance level of anonymity, which may be advertised when a dataset is sold or transferred to a third party for analysis.

Abstract: A dataset's uniqueness level may be calculated by analyzing a dataset to determine a uniqueness level. In cases where the uniqueness level may be too low for a particular purpose, meaning when the dataset may not provide enough anonymity, the dataset may be adjusted by recomputing the dataset with different resolutions of spatial data, temporal data, content data, and relationship data. By adjusting the resolution or accuracy of the data elements, the uniqueness level may thereby be adjusted. An error calculation may be determined by comparing the adjusted dataset to the original data, and the error value may represent the consistency of the data to the original data. The uniqueness level may be used as an assurance level of anonymity, which may be advertised when a dataset is sold or transferred to a third party for analysis.

Abstract: A computer-implemented method for computer query processing and/or data-table management in a computer system. The method includes generating a table that exists as a first instance in a first database and as a second instance in a second database. The method includes generating a current replication batch of pooled changes of the first instance that committed at or before a first time. The method includes propagating changes specified in the current replication batch to the second instance. The method includes assigning a batch-ID of the current replication batch to the query. The method includes executing the query on the second instance using the batch-ID as a filter to exclude any changes that have an assigned batch-ID of a replication batch having committed later than the current replication batch. The method includes returning results of the query execution on the second instance.

Abstract: A computer implemented method for creating and managing a database system comprising data structures for storing, in a memory, data and relations between the data, the method comprising the steps of creating a mind map structure wherein each node of the mind map represents a set in the first data structure and each branch represents a relation in the fifth data structure of the database in which there are defined five data structures that hold all information relating to tables, records and relations, namely: a first data structure comprising a definition of at least one data set, a second data structure comprising definitions of properties of objects, a third data structure comprising definitions of objects, a fourth data structure comprising definitions of properties of each object, a fifth data structure comprising definitions of relations and a sixth data structure for storing definitions of relations between objects.

Abstract: Systems and methods are described to address shortcomings in conventional conversation systems by executing a customized supplemental function for a natural language query based on the user's profile. In some aspects, the systems and methods receive a user query for a media asset, determine a query template in the user's profile matching the user's query, and identify and execute a supplemental function corresponding to the query template in addition to responding to the user's query. The user's profile is customized on the user's usage patterns of an interactive media guidance application. By monitoring the user's usage patterns and learning from the user's actions in conjunction with the user's natural language queries on which supplemental functions to execute, the interactive media guidance application may provide a smarter and more efficient user experience.

Abstract: The present technology relates generally to interactive virtual conversation interfaces, and more specifically, a method for querying an interactive virtual conversation interface in natural language, comprising receiving a digital document in a system, connecting to the system having the digital document, creating named entity files within the digital document, initializing operators and intent files, processing an end user query, creating a table query statement, sending the table query statement to the system, and receiving and displaying results.

Abstract: A system may include at least one processor. The at least one processor may receive data from a plurality of independent data sources. The data from each respective data source is received at a rate determined by the respective data source. The at least one processor may further write the received data to at least one data store at a rate independent of the respective rates at which data from the plurality of independent data sources is received. A method and computer-readable medium are also disclosed.

Abstract: In accordance with an embodiment, a system and method is described for enabling federated content management using a federated library and federated metadata propagation. The system can include a plurality of content servers, each including a processor and configured to store content items at a respective content database. The system can also include a federated library configured to store content items received from the plurality of content servers, as federated content items accessible to each content server of the plurality of content servers, and a federated database configured to receive and store metadata associated with the federated content items. The system can also include a federative agent associated with each content server and configured to communicate the metadata between the plurality of content servers and the federated database. In an embodiment, the system can be provided as a reusable, pluggable component for use with existing content management systems.

Abstract: A search support system supporting a search of unstructured data associated with a subject name that is a name of a subject indicated by a predetermined structure in structured data which contains a plurality of structures having a hierarchical relationship, is configured to include: a synonym search section that extracts a set of synonyms from teacher data which is unstructured data for detecting synonyms of the subject name; and an extended synonym generation section that generates an extended synonym which is a phrase obtained by combining a first subject name of a first structure in the structured data or a first synonym which is a synonym of the first subject name and which is extracted by the synonym search section with one or more second subject names indicated by one or more second structures higher in order than the first structure.