Abstract: An online system extracts information from a user for use in workflows using a machine learning-based language mode. The online system creates a weighted epoch tree comprising epoch nodes, each epoch node associated with a time interval associated with the user. An epoch node has a relevance score determined based on a set of events associated with the user that occurred during a time interval. The online system builds the weighted epoch tree by selecting an epoch node for further exploration based on relevance scores and determining a question relevant to a context represented by the selected epoch node. The online system determines an answer to the question and either adds the answer to an existing node or to new epoch nodes added to the weighted epoch tree. The online system may use the weighted epoch tree for generating a synthetic statement for the user.

Abstract: Systems and methods are described for enhancing performance of a search engine by using pre-existing fine-tuned machine learning models that include domain-specific knowledge. A computing device receives search results from a search engine based on a query, in which the search results include chunk identifiers and a first weight score associated with each chunk identifier. The computing device further determines a subset of search results, which includes a first predetermined number of top-ranked chunk identifiers in the search results. The computing device generates, for each chunk identifier in the subset of search results, one or more second weight scores. Then the computing device generates, via a machine learning model, ensemble scores for the chunk identifiers. Afterwards, the computing device determines a second predetermined number of top-ranked chunk identifiers based on the ensemble scores.

Abstract: In one embodiment, a device receives, via a user interface, definition of a first sequence of transactional milestones performed by users of an online application and identified using a first type of identifier. The device also receives, via the user interface, definition of a second sequence of transactional milestones performed by users of the online application and identified using a second type of identifier. The device further receives, via the user interface, definition of a key transition associated with at least one transactional milestone in the first sequence of transactional milestones or second sequence of transactional milestones that links the first type of identifier with the second type of identifier. The device represents, using the key transition, performance of the first sequence of transactional milestones and the second sequence of transactional milestones by a particular user of the online application as a unified sequence.

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

Abstract: Systems and processes disclosed herein perform an automatic remediation process. The automatic remediation process may be a log-based remediation process. Systems disclosed herein may obtain log files from an information management system and determine the occurrence of errors at the information management system based on error codes included in the logs. Further, the systems may access a knowledgebase to determine whether solutions for the errors have been previously generated. The solutions may include patches or hotfixes that can be applied to the information management system without removing user-access or stopping execution of the information management system. The systems may automatically update the information management system to address the errors. Alternatively, or in addition, the systems may alert a user, such as an administrator, of the existence of a solution to the error, and whether the solution may be applied without interrupting service or access to the information management system.

Abstract: A method for determining whether an entity is violating regulatory requirements using a machine learning model. The method includes providing a repository having a plurality of databases each storing data and information where the data and information is available to authorized users, updating and revising the plurality of databases as the data and information stored therein changes and new data and information becomes available by the users, processing the databases and the data and information contained therein using the machine learning model to determine whether the entity is potentially violating regulatory requirements, and transmitting a communication identifying that the entity is violating regulatory requirements, where remedial steps could then be taken to correct the violation of the regulatory requirements.

Abstract: Systems and methods for controlling access to a dataset management system using permission records are provided. For example, a request to access information in a dataset management system may be obtained from an entity, and a permission record associated with the entity may be selected. Further, it may be determined if the entity has permission to access the information. In some examples, when the entity has permission to access the information, the access to the information may be allowed. In some examples, when the entity has no permission to access the information, the access to the information may be denied.

Abstract: Methods and systems are provided for narrowing a scope of a search on a computing device to provide relevant search results to the user. Prior to receiving a search query from the user in a search box of a desktop taskbar, scope options are communicated for presentation from which the user can select. These scope options enable the user to select from web-based searches and local searches. A selection is received form the user of one of the scope options. Suggested search results are generated based on this scope option selection. At least one suggested search results is communicated for presentation on a display of the computing device.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for search and ranking legal document. The system obtains a transcript of a legal interaction, and displays the transcript via a user interface. The system further generates a query parameter based on the transcript, and transmits the query parameter to a database search engine. The system receives a list of documents retrieved by the database search engine corresponding to the query parameter, and for each document in the list of documents, generates a respective feature representation.

Abstract: In some implementations, a device may receive report data associated with one or more reports generated by a source mainframe, wherein the report data is in a plain text data format. The device may convert the report data from the plain text data format to a platform-independent data format associated with metadata defining one or more attributes for the report data. The device may receive, from a client device, a query that includes one or more search parameters matching the one or more attributes for the report data. The device may provide the report data associated with the one or more attributes matching the one or more search parameters to the client device.

Abstract: Systems, methods, and computer-storage media provide content item retrieval that is personalized and time aware for a user. Interaction tracking is performed to identify content items with which the user has interacted and time data indicative of when the user interacted with each content item. A machine learning model is trained using the content items and the time data associated with each content item. Once trained, the machine learning model is used to generate a relevance score for each of a number of target content items. At least a portion of the target content items are provided for presentation to the user based on the relevance scores.

Abstract: A method for assisting selection of an accommodation by an accommodation search system includes receiving user credentials from a user device; receiving trip parameters from the user device; determining a basic list of accommodations that correspond with the trip parameters; determining one or more factors that apply to each individual accommodation of the basic list of accommodations; applying a weight value to each of the one or more factors that apply to each individual accommodation of the basic list of accommodations; aggregating the weight values of the one or more factors that apply to each individual accommodation to determine an aggregate weighted score for each individual accommodation of the basic list of accommodations; sorting the basic list of accommodations into a sorted list of accommodations based on the aggregate weighted score for each individual accommodation; and providing the sorted list of accommodations to the user device for viewing by a user.

Abstract: The application aids users by providing supplemental audio content. For example, the application determines a subject of content provided to user equipment during a first time period of the content. The application retrieves a profile associated with the user equipment and retrieves supplemental audio related to the profile and related to the subject of the content. The application detects a supplementation point in the content corresponding with audio content similar to a supplementation signature and transmits the supplemental audio to the user equipment for output at the supplementation point.

Abstract: Disclosed are systems, methods, apparatus and computer program products for facilitating voice-based interaction by a mobile device with an enterprise database. In some implementations, a command and a type of enterprise work record are identified in a first one or more voice signals obtained at the mobile device. One or more fields of the identified record type required by the enterprise database to be populated to carry out the identified command is determined. Field data can be identified in a second one or more voice signals obtained at the mobile device. Structured text data comprising the identified command, the identified record type and the identified field data can be sent to a server.

Abstract: A system and method for data aggregation and process automation is disclosed. The method includes receiving a first data object from a first integration point through a first smart adapter, identifying an appropriate rules library from a plurality of rules libraries using a rules engine, the appropriate rules library being identified using the first data object, and applying the appropriate rules library through the rules engine. The rules are applied by instructing a transformation module to transform the first data object into a transformed data object, instructing a validation module to validate at least one of the first data object and the transformed data object, and instructing an aggregation module to perform a statistical analysis on one of the first data object and the transformed data object. Finally, the method includes sending the transformed data object to a second integration point associated with a second smart adapter.

Abstract: A system for storing and moving data based on the location of a user or a change in location of a user is described herein. Data associated with a user may be stored at one or more storage devices associated with a location of the user. Some or all of the data associated with the user may be moved to one or more other storage devices if, for example, the user moves to a different location or is expected to move to a different location, so that the user's data may be more efficiently accessed by the user.

Abstract: Described herein are various techniques for managing media related to a construction project, which may relate to one or more buildings to be built and/or renovated as part of the construction project. In accordance with techniques described herein, the media may be managed according to information regarding the construction project that is stored by one or more other systems separate from a media management system. The other systems may be construction information management systems that each store information regarding a construction project, including information relating to planning and/or execution of the construction project. For example, the media management system may generate tags based on the information regarding the construction project, may be trained to recognize features in the media that relate to the tags, and add the appropriate tags to the media based on the recognized features.

Abstract: A computer-implemented method for targeted sweep of a key-value data storage is provided. The method comprises before a write transaction to a database having a key value store commits, and before each of one or more write commands of the write transaction are persisted to the key value store, writing an entry for each of the one or more write commands to an end of a targeted sweep queue, the entry comprising metadata including: data identifying a cell to which the write command relates, a start timestamp of the write transaction, and information identifying a type of the write transaction.

Abstract: Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes generating population prediction scores for each potential cross within a set of potential crosses, where each population prediction score is associated with a prediction of commercial success for the associated potential cross within the set of potential crosses. The method also includes selecting a subgroup of potential crosses, based on thresholds associated with the population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, and directing ones of the selected target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

Abstract: A computer system is provided that stores reference data records and event data records that each correspond to one of the reference data records. Tokens are generated from the reference data records and sorted into subsets. Each reference data record that has a given token is included in the corresponding subset. A correlation value is calculated between members (e.g., the reference data records) of the subsets. The correlation values are calculated by determining a common time, calculating a reference value, calculating a percentage difference from the reference value, and then determining a correlation value (e.g., a correlation coefficient) using the percentage difference.