Abstract: Various embodiments of systems and methods to determine data retention rules for data entities are described herein. In one aspect, the data entities are obtained. Usage statuses of the data entities are determined. One or more purpose of data corresponding to the one or more data entities is received. Further, legal entities corresponding to the one or more data entities are identified based on line organization attributes and the usage statuses. Process object attributes associated with the one or more data entities are identified based on the legal entities. Retention rules for the one or more data entities are determined based on the one or more purpose of data, the legal entities and the process object attributes.

Abstract: Methods and systems for a networked storage environment are provided. One method includes maintaining by a processor of a management console, a plurality of structured objects representing a plurality of resources in a networked storage system for storing and retrieving client data from a plurality of storage devices; receiving by the processor unstructured data from an application programming interface (API) associated with a resource of the networked storage system; parsing by the processor, the unstructured data and generating an identifier hash value based on uniquely identifying fields of the unstructured data for an unstructured object; and generating by the processor a logical index with a configuration index and a performance index for the unstructured object identified by the identifier hash value for responding to user requests for performance information regarding the unstructured object.

Abstract: A method and apparatus of a device that selects an application state for use in a multi-device search is described. In this embodiment, the device detects, on the device, that the application state has been selected as a query result for a device-level search on that device. The device further transmits the application state to a server, wherein the application state is to be indexed with other application states from other devices.

Abstract: The disclosure discusses an AODSA tool that assists a user in submitting data responding to an online data posting. An embodiment of the invention is described as a job application utility. The user registers with a central data management system. This may be achieved by uploading a resume and/or manually providing registration data. Alternately, the registration data may be derived from parsing an uploaded resume that is analyzed and stored. In another embodiment, a user may simply answer a series of registration questions to register, while also creating a resume. Once the identifying information is finalized, the user is able to search the broad range of job listings. The user is able to forward identifying information to respond to a job listing by forwarding an uploaded/system created resume to an email address in the job listing or conduct an auto-fill of a linked online job application form.

Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.

Abstract: A solution is provided to generate video recommendations in a video sharing environment. A video recommendation system selects a video as a target video and extracts target keywords from the title of the identified target video or the title of a non-video trending news item. The system receives multiple candidate videos. For each candidate video, the system extracts keywords from the title of the candidate video and compares the extracted keywords with the target words. Based on the comparison, the system generates a similarity score for the candidate video. The system ranks the candidate videos based their associated similarity scores and selects a candidate video having the highest similarity score as the video recommendation for the target video.

Abstract: Provided are a computer program product, system, and method for grouping records in buckets distributed across nodes a distributed database system to perform comparison of the grouped records. Upon receiving a record, data in the received record is processed to determine at least one containing bucket having attributes matching those of the received record, wherein the at least one containing bucket comprises at least one of a plurality of buckets, and wherein the buckets are assigned to the local node and the external nodes. A determination is made of at least one of the containing buckets assigned to at least one of the external nodes. At least a portion data in the received record is forwarded to each of the determined at least one external node to perform comparison matching with other records in the containing bucket at the external node.

Abstract: Ensuring reproducibility in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: identifying, by a unified management plane, one or more transformations applied to a dataset by the artificial intelligence infrastructure, wherein applying the one or more transformations to the dataset causes the artificial intelligence infrastructure to generate a transformed dataset; storing, within the one or more storage systems, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset; identifying, by the unified management plane, one or more machine learning models executed by the artificial intelligence infrastructure using the transformed dataset as input; and storing, within the one or more storage systems, information describing one or more machine learning models executed using the transformed dataset as input.

Abstract: Described herein are apparatuses, methods, and computer readable media for asynchronous sensing and/or validating of data using a first sensor and a second sensor for a purpose of transforming input data into validated output data when at least one attribute of external data or the input data, as determined by a sensor, is missing. The external data is associated with the input data and is used for determining a set of attributes for the first sensor. The asynchronous sensing and/or validating of the input data enables faster transforming of the input data into the validated output data.

Abstract: Implementations of the present disclosure include actions of receiving a search query, identifying potential search results responsive to the search query, the potential search results corresponding to digital content stored in one or more computer-readable storage media, determining that the potential search results include user-generated content that is generated using one or more computer-implemented social services, receiving data associated with the user-generated content, the data including one or more scores, determining, based on the one or more scores, that the user-generated content is to be provided as a search result, generating search results, the search results including web-based search results and at least a portion of the user-generated content, and transmitting the search results to a client computing device for display to the searching user.

Abstract: A method for efficiently processing and storing large data sets associated with a multi-stage bioinformatics analysis of genomic data is disclosed. The present method increases the efficiency of the electronic storage of these large data sets by automatically deleting or compressing intermediate data or a portion of output data and compressing input data, where both deletion and compression are based on predetermined characteristics of said data. When necessary, such data can be recovered using generated metadata associated with the data. Doing so, not only improves the storage efficiency of massively large genomic datasets, but also allows for the consistent reproduction of output data with the re-processing of intermediate data based on information stored in metadata.

Abstract: Items of interest within digital information may be detected and associated with a label that provides context to the item of interest. The label may describe an item category of the item of interest. The knowledge base of item categories may be limited. Additional item categories may be learned by accessing sets of vocabulary that may relate to the known item categories.

Abstract: A tool for combining common processes shared by at least two or more sub-queries within a query is provided. The tool determines the query with the at least two or more sub-queries. The tool determines whether one or more sub set relationships are shared between the at least two or more sub-queries. Responsive to a determination that one or more sub set relationships are shared between the at least two or more sub-queries, the tool determines an order class for the at least two or more sub-queries based on the one or more sub set relationships. The tool determines an access path for the query. The tool executes the access path during run-time for data accessing.

Abstract: A machine is configured to access a search phrase or other communicated phrase and deconstruct the accessed phrase into multiple sub-phrases. The machine performs an analysis of n-grams that occur within the sub-phrases, generates a set of potentially different sub-phrases from the n-grams, and selects which data source among multiple available video sources should be accessed for each generated sub-phrase in the generated set. For example, the machine may allocate each generated sub-phrase to a corresponding data source and cause the corresponding data source to execute a query based on its corresponding sub-phrase. Thus, the machine chooses from which data source to obtain partial search results that correspond to each sub-phrase generated based on the analyzed n-grams in the accessed phrase.

Abstract: A Microblog-based event context acquiring method has: an event-related acquiring information of original microblogs and reposted microblogs thereof contained in a predetermined topic within a statistical time period; calculating an event heat time distribution about the topic corresponding to the information of the original and reposted microblogs thereof related to the event within the statistical time period, the event heat indicating a degree of concern of the original microblogs and the reposted microblogs thereof related to the event in a user group; and selecting, from the statistical time period, a plurality of event context time nodes and corresponding node events according to the event heat time distribution about the topic within the statistical time period so as to constitute an event context of the topic. Event context of the event contained in the predetermined topic by means of the microblogs is acquired quickly and accurately.

Abstract: A system and method for managing electronic information using a computer system for one or more users, comprising creating an electronic folder and storing the folder in an electronic folder management system, creating files for the electronic folder, maintaining a collection of electronic folders and the files stored therein, and associating the electronic folders with one or more files such that each of the files may be accessed by identifying the related electronic folder.

Abstract: Methods and systems of providing metadata association with videos on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos that are search results for a search query and indicates view durations that the videos were viewed responsive to the search query. First and second videos competing for views of users are identified from the received search records. The first and second videos each have metadata respectively describing the first and second videos. Search queries directed to the first video are identified from the search records. Search terms associated with the search queries are further identified and compared to the metadata of the second video. Search terms that are not included in the metadata of the second video are identified as metadata improvements to the second video.

Abstract: Methods and systems of determining competition for search queries on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos available on the video hosting system that are search results for a corresponding search query and indicates associated view durations that the videos were viewed responsive to the search query. Search queries directed to a first and second videos and associated view durations that the first video was watched in response to the queries are identified from the received search records. A competition score indicating an amount of competition between the first and second videos for views of users of the video hosting system is calculated based on the identified search queries and associated view durations.

Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.

Abstract: Systems and methods for dynamically creating collaborative teams and managing collaborative work of a team are generally disclosed herein. One example embodiment includes the dynamic creation of a collaborative team by creating an association between team members via a managing module. The managing module may be capable of managing, among other things, team members on a team, tasks and goals of each member of the team, as well as documentation associated with the team. In some embodiments, the managing module may use a chat or messaging protocol to manage collaborative modifications to documents of the team.