Abstract: A sentiment analysis computing system includes a storage medium and a processing system. Sentiment input is received from audience members viewing a streamed/webcasted event. The received input is stored to the storage medium. A time slice of the webcasted event is determined and sentiment inputs that are within that time slice are obtained. A sentiment value is calculated for the determined time slice based on aggregated sentiment values. The calculated sentiment value for the time slice is then output by the sentiment analysis computing system.

Abstract: The described technology relates to a logging framework wherein identifiers are associated with various elements within a web application, such as pages within the application and portions of pages within the application. Additional identifiers may be associated with sessions within the application, instances of page visits within the application, and other facets of the application and user interactions with the application. The identifiers can be used to generate a log that indicates, among other information, a history of interactions performed by a user navigating the application.

Abstract: The described technology relates to developing and/or maintaining dashboards in enterprise web applications. In some aspects, a portal web application is configured to provide a user interface on a client device to create or modify a dashboard which includes a first plurality of widgets. A second plurality of widgets includes widgets published to the portal web application from a plurality of subscriber web applications, where each of the second plurality of widgets is used in at least one of said subscriber web applications, and the first plurality of widgets includes one or more widgets from the second plurality of widgets. In some other aspects, a dashboard management service is provided by which respective enterprise web applications can create and host widgets while sharing the same with other enterprise web applications which use dashboards developed using the dashboard management service.

Abstract: A board portal system provides the ability to manage multiple boards, where each of the boards may be a separate legal entity. The board portal may provide the ability to establish links between the multiple boards and create parent-child relationships with subsidiary boards. With the board portal, users can create content and make it viewable and accessible across multiple boards that related through a parent-child relationship. At the same time, the board portal maintains a requisite level of separation between the related boards in the portal using encryption and/or other separation techniques. As a result, the board portal facilitates flexible workflow patterns and communication processes based on the proper hierarchical structure that exists between the parent organization and its subsidiaries.

Abstract: Systems and methods are provided for recording ownership information in a distributed ledger (such as a blockchain), and for performing application processing utilizing the distributed ledger. An example server computer system is configured to: record on a blockchain ownership information of an asset; to configure, for each owner of the asset, a digital wallet associated with a private cryptographic key and at least one blockchain address; using a blockchain address from a digital wallet to access ownership information in the blockchain; perform application processing using the accessed ownership information; and record in the blockchain, updated ownership information or other information associated with the ownership information in accordance with the performed application processing.

Abstract: A computer system is provided that includes a storage system, at least one transceiver, and a processing system with at least one hardware processor. The storage system stores a first list pair. The transceiver receives electronic data messages that each include a respective data transaction request. The processing system determines how the new data transaction request should be processed based on which communication protocol was used to submit the request. Updates regarding the first list pair are sent out to non-party client computer systems using different communication protocols, where one is faster than the other, but the slower update includes private data therein.

Abstract: A computer extracts from contact records that each include a contact identifier, a group identifier for each group with which the contact has had an interaction, and interaction information that indicates a number of interactions and a timing of a most recent interaction. The contact data records are processed to generate a contact profile record for each contact including group metric values and a corresponding value for each group metric value based on an interaction history of groups the contact has interacted with. An interaction analytics databases stores a set of contact profile records and group profile records for groups that include metric values associated with the group and an interaction history. They are processed with at least thousands of the contact profile records to determine group-contact compatibility factors. A compatibility parameter is generated and communicated for each of at least thousands of contacts based on the group-contact compatibility parameters.

Abstract: A distributed computing system is provided that communicates with a routing computer system. A routing module that is internal to the distributed computing system controls how and when data transaction requests are sent to the routing computer system for routing to destination systems.

Abstract: A computer system includes a transceiver that receives over a data communications network different types of input data from multiple source nodes and a processing system that defines for each of multiple data categories, a set of groups of data objects for the data category based on the different types of input data. Predictive machine learning model(s) predict a selection score for each group of data objects in the set of groups of data objects for the data category for a predetermined time period. Control machine learning model(s) determine how many data objects are permitted for each group of data objects based on the selection score. Decision-making machine learning model(s) prioritize the permitted data objects based on one or more predetermined priority criteria. Subsequent activities of the computer system are monitored to calculate performance metrics for each group of data objects and for data objects actually selected during the predetermined time period.

Abstract: In some embodiments a distributed computing system is provided that includes a plurality of different feature modules and a matching engine. The different feature modules each provide different processing for handling parent requests and submitting, to the matching engine, commands for child data transaction requests that are associated with the parent request.

Abstract: In some embodiments a distributed computing system is provided that includes a plurality of different feature modules and a matching engine. The different feature modules each provide different processing for handling parent requests and submitting, to the matching engine, commands for child data transaction requests that are associated with the parent request.

Abstract: A first transaction computer system and a second transaction computer system are provided. The first transaction computer system receives data transaction requests that may be routed to the second transaction computer system. The second transaction computer system attempts to match the routed data transaction request against pending data transaction requests using hidden attributes.

Abstract: A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate until a selected feature set converges or otherwise meets or exceeds a given threshold.

Abstract: The described technology provides a capability to perform in-session updates to entitlements associated with a user's access to content served by a web application. The content may be from one or more external servers. The technology provides for automatically detecting changes to entitlements, and without requiring a user of an active session to initiate a new session, updating entitlement data in a memory such that subsequent requests for data made by the client in the same active session are serviced using the updated entitlements.

Abstract: A system is presented that profiles authors and social media data across different media platforms and is capable of determining the author's overall social impact. In one aspect, this is accomplished by using a data retrieval service to trawl various web-sites and social media platforms for information about authors which can then be associated with those authors in a profile database. In one example, an author may post an entry on his/her blog and the data retrieval service can access the profile information of the author, on the blog, where various aspects of the profile information (e.g., real name, employee information, home address) can be matched with candidates in a profile database. From the information gathered, authors can be linked across multiple, different platforms, and an overall social impact of each of the authors can be determined.

Abstract: A computer system is provided that includes a paired list of data transaction requests on which a matching process is performed. There are multiple different types of data transaction requests that are stored in the paired list including data transaction requests with midpoint attributes and data transaction requests with discretion attributes. The computer system may determine how the multiple different types of data transaction requests may be match against each other. Two matching processes can be used to determine if a match exists between the first and second sides of the paired list. Matches that are determined at private values are not disseminated to third-parties via public market data feeds.

Abstract: In some embodiments a distributed computing system is provided that includes a plurality of different feature modules and a matching engine. The different feature modules each provide different processing for handling parent requests and submitting, to the matching engine, commands for child data transaction requests that are associated with the parent request.

Abstract: A social intelligence system is presented that streams information from a source, queues the streamed information, analyzes/scores the queued data, and stores the analyzed/scored data in an analysis database. The analyzed/scored data can then be retrieved from the database for post-processing and stored in a client specific database for further reporting. By streaming the data into various message queues and scoring the data before storing in the analysis database, large volumes of data can be efficiently processed and analyzed for a particular person and/or entity.