Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for automatically configuring a user interface for interacting with an application. Actions can include receiving a request provided through a user interface of a remote device, the request including a plurality of elements including an identifier associated with a tradable asset, and a time period; in response to receiving the request, obtaining at least one transactions series relating to the tradable asset within the time period, the at least one transactions series corresponding to a trading strategy; determining a performance indicator of the trading strategy based on the transactions series; and transmitting a response to the request including content relating to the performance indicator of the trading strategy.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for dynamically configuring a user interface for interacting with an application. Actions can include: receiving user input, the user input having been provided through the user interface; in response to receiving the user input, determining one or more expected user-actions based on a graph and the user input, the graph modeling user interactions with the application; obtaining one or more modifications based on the one or more expected user-actions; and transmitting instructions to modify the user interface based on the one or more modifications.

Abstract: Various embodiments of systems and methods for extraction and grouping of feature words are described herein. Feature words are obtained from a first corpus of text bodies comprising a plurality of reviews. A second corpus is created using a combination of the obtained feature words, verbs and adjectives from the first corpus. The second corpus comprises filtered reviews and each of the filtered reviews pertains to a review. Topics are preliminarily assigned for words in the filtered reviews of the second corpus. For each of the feature words in the second corpus, a topic count is determined for every preliminarily assigned topic. After determining the topic count, one or more of the topics are finally assigned to the feature words based on a topic count value. At least one topic is presented as a group of the feature words for which the at least one topic is assigned based on the topic count value.

Abstract: Various embodiments of systems and methods for extraction and grouping of feature words are described herein. Feature words are obtained from a first corpus of text bodies comprising a plurality of reviews. A second corpus is created using a combination of the obtained feature words, verbs and adjectives from the first corpus. The second corpus comprises filtered reviews and each of the filtered reviews pertains to a review. Topics are preliminarily assigned for words in the filtered reviews of the second corpus. For each of the feature words in the second corpus, a topic count is determined for every preliminarily assigned topic. After determining the topic count, one or more of the topics are finally assigned to the feature words based on a topic count value. At least one topic is presented as a group of the feature words for which the at least one topic is assigned based on the topic count value.

Abstract: A system, method and computer program product for implementing application level policies in an operator network, while managing the exchange of data packets between users and service providers during the provisioning of premium data services. The system and method intermediates between a user and a service provider (who may be an enterprise, content provider, an application provider or a partner portal). The system and method enforces access control, prompting, redirection and inline context injection dynamically while the service is being delivered, and generates metering records for billing purposes. The system and method allows the service providers to provide various external services. Such external services include transcoding service, age verification service, streaming service, recommendation service, advertisement service, fulfillment aware charging, dynamic pricing, real time events, and messaging services.

Abstract: A system that includes one or more priority failure detectors may be included that detect node or process failures in the distributed computer network. The system has a fault-tolerant, client-server architecture where a client process presents a particular consensus problem to one or more server processes to solve such a consensus based problem. The system assigns priority levels to processes involved in a consensus session and controls the frequencies of their heartbeat status messages based on their respective priority levels. By controlling the frequencies, the reliability of the network is enhanced and the overall message load on the even bus is reduced to a minimum number. The system also discloses a name service that assigns unique logical identities to all processes in a consensus session. Further, by tagging all involved processes appropriately, multiple consensus based problems can be dealt with on a set of consensus server processes simultaneously.