Abstract: Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, a match machine learning model may be used in combination with an in-database machine learning model and an out-of-policy machine learning model. The match machine learning model may calculate a probability that a newly received database record individually matches respective candidate database records identified in a local database, the in-database machine learning model may calculate a probability that the received database record is in the local database, and the out-of-policy machine learning model may be used to calculate a probability that the newly received database record complies with inclusion rules of the local database.

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: A computerized-method for determining a storage class of a media file is provided herein. The computerized-method includes: (i) aggregating data from the plurality of data sources; (ii) operating a pre-built machine learning File Access Frequency Score (FAFS) model to calculate an accessibility score for a media file; (iii) sending the media file to archive storage when the accessibility score is below a preconfigured threshold; (iv) calculating Predicted Active Lifetime Span (PALS) score of the media file, when the accessibility score is above the preconfigured threshold; (v) repeating the calculating of the PALS score of the media file every preconfigured period of time, when the media file is in active storage, until the calculated PALS score of the media file is lower than or equals zero; and (vi) sending the media file to the archive storage.

Abstract: The present invention is directed to systems and methods for displaying and contributing to a database of genomic information in a notebook-like format, with emphasis on establishing and viewing relationships between data points in the database. The present invention features a server containing the database of genomic information and a computing device communicatively coupled to the database. The computing device may comprise a Note Input Module for allowing the user to input a note into the database of genomic information. The note may be associated with a first data point and connect it to one or more second data points. The computing device may further comprise a Note Association Module for adding to the list of associated data points of a pre-existing note. The computing device may further comprise a Browsing Module for allowing a user to search the database of genomic information for data points and notes.

Abstract: Disclosed herein are enterprise applications and platforms that manage databases containing documents and may employ search systems that allow users to retrieve documents based on queries. The search systems may be configured to retrieve data from several different data sources and may be associated with many of the applications. Furthermore, the search systems may include a faceted interface based on database or document attributes for further search refinement. The faceted interface may be template-based and modular, allowing reconfiguration of the interfaces without substantial rewriting of the application code base.

Abstract: A hierarchy is a multi-level linked structure of nodes, wherein the hierarchy represents data relating to a set of one or more items to be processed. Where there are multiple input hierarchies, it may improve the efficiency of the processing of the items to merge the input hierarchies to form a merged hierarchy. The hierarchies are merged by identifying two or more sub-hierarchies within the input hierarchies which are to be merged, and determining one or more nodes of the merged hierarchy which reference nodes of the identified sub-hierarchies. The determined nodes of the merged hierarchy are stored and indications of the references between the determined nodes of the merged hierarchy and the referenced nodes of the identified sub-hierarchies are also stored. In this way, the merged hierarchy is formed for use in processing the items.

Abstract: Embodiments generate random walks through a directed graph that is represented in a relational database table. Each row of the graph table represents a directed edge in the graph and includes a source vertex and a destination vertex. Each row is further augmented to (a) indicate the number of outbound edges starting from the destination vertex in the row and (b) include an identifier that distinguishes the edge from other outbound edges starting from the same source vertex. An SQL query may be executed on the augmented graph table. Starting from a source vertex (starting vertex or the destination vertex of the previously selected hop) the query randomly selects a row of the graph table representing one of the outbound edges from the source vertex and adds the selected outbound edge as a row in a random walk table that represents the next hop in the random walk.

Abstract: Methods and systems for arranging hyperlinks on a graphical user-interface (GUI) of a computerized system include receiving, via the GUI, a user selection to display a plurality of hyperlinks, the hyperlinks corresponding to one or more nodes of a first set. The methods and systems further include determining, by a processor, a rank of each hyperlink in the plurality of hyperlinks. Determining a rank includes constructing a first bipartite graph between the one or more nodes of the first set and one or more nodes of a second set, the first set and the second set being mutually exclusive, wherein edges of the first bipartite graph are weighted according to a first criterium and constructing a second bipartite graph between the one or more nodes of the first set and the one or more nodes of the second set, wherein edges of the second bipartite graph are weighted according to a second criterium, different from the first criterium.

Abstract: A system and method of generating user personalized search results is disclosed. A search query including one or more words is received and a set of relevance-based search results is generated in response to the search query. One or more query attributes are generated for the search query. Historic data for a user associated with the search query is received and a set of personalized search results is generated from the set of relevance-based search results based on the query attributes and the historic data for the user. The historic data includes one or more items associated with the user.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. Each computing device is operable to compress one or more blocks of data and append a journal in front of the data. The journal and the data are written concurrently to flash memory. Each computing device is also operable to maintain a metadata registry that records changes in the flash memory. In the event of a power failure, the journal and previous journals may be used to verify the state of the metadata registry.

Abstract: The example embodiments are directed to a system and method which can perform a text-based search for a temporal data pattern in time-series data. The text-based search process is significantly faster than a distance measurement-based search performed based on temporal pattern comparisons. In one example, the method may include storing previously recorded temporal patterns of time-series data, determining a set of optimal bin boundaries based on the previously recorded temporal patterns, where the set of optimal bin boundaries divide the observed range of time-series data into a plurality of discrete bins each labeled with a respective symbol, transforming the previously recorded temporal patterns of time-series data into symbol strings based on the set of optimal bin boundaries, where a symbol string is based on data points in the plurality of discrete bins, and storing the symbol strings within a symbol storage.

Abstract: Techniques are disclosed for providing an interactive search session. The interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.

Abstract: A method for producing a geospatial sitemap for a property includes obtaining a sitemap of the property. Within the sitemap, regions that represent buildings and internal roads are identified. Associated with each region in the sitemap that represents a building is geospatial metadata for the property that provides geospatial information pertaining to the region and addressing information that pertains to the region.

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: An interface between an existing local file system and a data store generates and exports to the data store a versioned file system. The state of the local file system at a given point in time can be determined using the versioned file system. In operation, the interface creates and exports to the data store structured data representations, which correspond to versions of the local file system, as well as actual file system data that these structured data representations represent. A cache associated with the interface stores recently used data and metadata, as well as all write data and metadata waiting to be transferred to the data store. Prior to transfer, one or more data transformations may be applied to the data and metadata. In one embodiment, the data store comprises one or more cloud storage service providers. A content control system is used to configure and manage the interface.

Abstract: A method for producing a geospatial sitemap for a property includes obtaining a sitemap of the property. Within the sitemap, regions that represent buildings and internal roads are identified. Associated with each region in the sitemap that represents a building is geospatial metadata for the property that provides geospatial information pertaining to the region and addressing information that pertains to the region.

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: 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: The subject matter of this specification can be embodied in, among other things, a computer-implemented method that includes obtaining, at a computer system, a plurality of contact identifiers for a computer account holder, wherein the identifiers represent a plurality of different communication modes; identifying a handle for the account holder, wherein the handle is associated with a uniform resource locator; and correlating the handle with the plurality of contact identifiers, and storing the handle and plurality of contact identifiers together so as to permit retrieval of the contact identifiers in response to identification of the handle.

Abstract: A computing system may obtain code for a query to a database from a first user. In response, the application may automatically perform an operation to determine a number of records of the database that would be accessed by executing the query on the database. The computing system may output, for display to the first user, the number of records of the database that would be accessed by executing the query on the database. The computing system may output, for display to the first user, a prompt for an acknowledgement of the number of records of the database that would be accessed. In response to receiving an indication of the acknowledgement by the first user of the number of records of the database that would be accessed, the computing system may output, for display to a second user, the code for the query for review by the second user.