Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: The disclosed embodiments provide a system that facilitates use of an application on an electronic device. During operation, the system obtains a first metadata definition containing a mapping of view components in a user interface of the application to a set of attribute-specific types associated with an attribute of the electronic device, and a second metadata definition containing a set of rules for binding the attribute-specific types to a set of platform-specific user-interface elements for a platform of the electronic device. Next, the system generates a view for display in the user interface by applying, based on the attribute and the platform, the first and second metadata definitions to content describing the view to select one or more platform-specific user-interface elements for rendering one or more of the view components in the content. The system then instantiates the platform-specific user-interface element(s) to render the view component(s).

Abstract: A method may include obtaining first sensor data from first sensors of first workspace devices and a first timestamp corresponding to the first sensor data. The first sensors of each workspace device may include a geolocation sensor. The first workspace devices may include an employee device corresponding to an employee. The method may further include obtaining task categories. Each task category may include a sensor data pattern. The method may further include calculating, for each task category, a first task distance between the sensor data pattern and the first sensor data. The method may further include determining a first task category based on the first task category having the first task distance that is shortest. The method may further include creating, based on the first task category, a first task instance with a start time equal to the first timestamp. The first task instance is assigned to the employee.

Abstract: Embodiments presented herein provide systems and methods for disambiguating the identity of a record to which information imported from a third-party data source pertains. For example, in one embodiment, a record-storage service creates a record of a transaction between a first entity and a second entity. Upon receiving an indication that an instrument will be used to transfer a value for the transaction, the record-storage service associates a code to be printed on the instrument with the record and sends the code to an application that will be used to generate the instrument. Subsequently, the record-storage service receives information imported from electronic records provided by a third-party institution. The information also includes a code provided on the instrument and a status. Upon determining that the code provided on the instrument matches the code associated with the record, the record-storage service updates the record to reflect the status.

Abstract: Systems, methods and articles of manufacture for determining impact correlations from a calculation graph for calculating taxes. The system includes a computing device, a data store in communication with the computing device and a tax preparation software application executable by the computing device. The tax preparation software application has a tax calculation engine, a tax calculation graph, and an impact chain engine. The tax calculation engine is configured to perform a plurality of tax calculation operations based on the tax calculation graph. The impact chain engine is configured to analyze the tax calculation graph and determine an impact correlation between a change in a value of a first node caused by a change in a value of a second node utilizing an impact chain which includes both the first node and the second node.

Abstract: A method and system provides a data services application that is highly scalable and modifiable without great risk of damaging the application. The method and system stores in a routing library in accordance with a browserless runtime environment, a plurality of route files each defining a data communication route between a data services application and a data source. The method and system stores, in accordance with the browserless runtime environment, application source code for the data services application. The application source code includes a callout to each route file in the routing library. Routes can be added by adding a new route file to the routing library and by adding a single line of code to the source code of the application.

Abstract: To provide context-specific interpretation of a user interaction with a user interface of a computer application, a processor may detect a user interaction with a user interface (UI). The processor may analyze the user interaction to determine a plurality of action details. The processor may generate a user context based on the plurality of action details and additional context information. The processor may select at least one operation relevant to the user interaction and context. The processor may cause the computer application to perform the operation.

Abstract: Certain aspects of the present disclosure provide techniques for executing simulated failure scenarios on a computing system using natural language inputs in a domain-specific language. Embodiments includes receiving a failure scenario definition, which may be a natural language input identifying target systems in a distributed computing system, properties, and an expected outcome of a simulated system failure. Commands directed to the identified target systems to simulate a system failure on the identified systems according to the identified properties are generated and transmitted to the identified target systems for execution. The outcome of the simulated system failure is monitored, recorded, and compared to the expected outcome of the simulated system failure. Upon determining that the recorded outcome and expected outcome of the simulated system failure differ, an alert identifying a difference between the recorded outcome and the expected outcome is generated.

Abstract: A computing platform identifies one or more characteristics of a user accessing application software or a software service via a user interface and a field to be filled or completed in the user interface of the application software or a software service. The computing platform further determines and presents, at one or more automatic fill or completion modules that are stored at least partially in memory and function in tandem with one or more computer processors in the computing platform, a list of one or more completion candidates in the user interface of the application software or a software service at least by performing one or more incremental searches based in part or in whole upon the one or more characteristics. The field is then populated with a completion candidate from the list of one or more completion candidates.

Abstract: Computer-implemented systems, methods and articles for preparing and/or submitting a plurality of different types of compliance forms for submission to a regulatory agency. The system includes a computing device, a data store, and a compliance form software program executable by the computing device. The compliance program includes a universal calculation engine, logic agent and user interface manager which are configured to process a respective domain model configured for each type of compliance form. Each domain model includes a calculation graph, a completeness model comprising decision table(s) and/or completeness graph(s), user interface assets and filing rules configured specifically for a particular type of compliance form. The rules and regulations for each type of compliance form are embodied in the declaratory data structures of the respective calculation graph and completeness graph for each domain model.

Abstract: A computer-implemented method for generating a customized tax preparation experience for a user of tax preparation software includes a computing device executing a data capture utility, the data capture utility connecting to one or more remote data sources and capturing and transferring at least some tax data contained therein to a data store associated with the tax preparation software. The computing device executes a topic analysis engine configured to identify highly relevant tax topics from the data transferred to the data store. A user interface manager automatically generates interview questions or statements on said highly relevant tax topics. The user confirms whether other tax topics apply to the user. The computing device executes a tax calculation engine of the tax preparation software configured to compute a tax liability or refund amount.

Abstract: A camera may capture data. A processor in communication with the camera may detect a plurality of symbols in one or more frames in the data. The processor may determine an expected sequence of the plurality of symbols and an expected orientation of each of the plurality of symbols. The processor may determine a position and orientation of each of the one or more frames based on at least one of the symbols visible in the frame. The processor may correct errors in the one or more frames. The processor may arrange a plurality of frames with respect to one another based on the determined positions and orientations. The processor may stitch the plurality of arranged frames into an image.

Abstract: A method for substituting credentials that involves generating a response to a request associated with access to an information server, the response including a first page with one or more entry fields that each accept a developer credential of a set of developer credentials and with an entry field that accepts a first set of script commands; receiving a first developer credential of the set of developer credentials and the first set of script commands; wherein the first set of script commands include a first dummy credential of the set of dummy credentials; instantiating an executor instance that executes a browser; accessing, by the browser, a second page from the information server using a first credential of the set of user credentials; rendering, by the browser, the second page with a first dummy credential of the set of dummy credentials that is mapped to the first user credential of the set of user credentials; and transmitting a third page to the developer machine, the third page including a section t

Abstract: A method that involves receiving budget information of a containerized application deployed with a set of containers to a first cloud provider service of a set of cloud provider services; receiving pricing information from each cloud provider service of the set of cloud provider services, wherein the set of cloud provider services includes the first cloud provider service and a second cloud provider service; receiving performance information of the containerized application from the first cloud provider service; generating an output vector from a machine learning model, wherein the machine learning model uses the pricing information and the performance information to generate the output vector; determining a first cloud provider service cost and a second cloud provider service cost based on the output vector and the pricing information; migrating the containerized application from the first cloud provider service to the second cloud provider service.

Abstract: A system for acquiring tax data during electronic tax return preparation includes a client computer configured to render a first webpage and receive interface data from a tax data source computer. The system also includes a browser server computer configured to receive the interface data from the client computer, process the interface data to generate rendering instructions, and transmit the rendering instructions to the client computer. The client computer and the browser server computer are configured such that, when the client computer executes the rendering instructions, the client computer renders a secondary webpage. The secondary webpage is controllable independent of the primary webpage.

Abstract: Certain aspects of the present disclosure provide techniques for displaying sentiment of a user text comment. One example method generally includes receiving a text comment comprising a sequence of words, providing a vector sequence representing the sequence of words to a sentiment model configured to output a sequence of sentiment scores for the vector sequence and providing cleaned text to a topic module configured to output relevance scores. The method further includes receiving, from the sentiment model, the sequence of sentiment scores for the vector sequence and receiving, from the topic module, the relevance scores for the cleaned text. The method further includes determining, final sentiment scores for each word of the sequence of words and generating a sentiment visualization for the sequence of words showing the final sentiment scores corresponding to each word of the sequence of words.

Abstract: Techniques are disclosed for restoring application services in a computer network. One example method generally includes identifying a set of servers hosting an application and determining a plurality of successive phases for restoring the application. The method further includes identifying a first instance of a first service of the application executing on a first server of the set of servers hosting the application and determining other instances of the first service are unavailable on other servers of the set of servers hosting the application. The method further includes delaying restoration of additional services on the first server until at least a second instance of the first service is available on one or more servers of the set of servers hosting the application other than the first server.

Abstract: A method for fraud detection may include receiving, via a first user account of a business management application (BMA), a first loan application for a first business entity. The first user account may be accessible to an accountant of an accounting firm. The method may further include receiving, via a second user account of the BMA, a second loan application for a second business entity. The second user account may be accessible to the accountant. The method may further include determining, using a cluster analysis, (i) a connection strength between the first business entity and the second business entity relative to the accounting firm, and (ii) a fraud score for the accounting firm, and determining, based on the connection strength and the fraud score, a probability that the first loan application is fraudulent.

Abstract: A system and method allows users to provide portions of scripts or scripts for retrieval of information from one or more web sites of one or more businesses by demonstrating operation of the one or more web sites and identifying locations of one or more fields on each web page of the one or more web sites, and the system and method stores the scripts and uses the scripts to retrieve information from such web site or web sites for any number of users. Different portions of different scripts may be used as a single script to retrieve information from a single web site. Scripts or portions of scripts may be repaired using information from previously working scripts or portions, the web site when the script or portion worked, and the web site when the script or portion did not work.

Abstract: A method includes establishing a network connection with a source computing device and an application services computing device, receiving, via the network connection, a source event stream at the application services computing device, and extracting a sample of the source event stream. The method further includes partitioning the sample of the source event stream into fields, identifying a field data type of a field of the multiple fields in the sample, identifying a distribution of values of the field in the sample, and extrapolating, from the sample of the source event stream, extrapolated functions for the fields. Extrapolating an extrapolated function is dependent on the field data type and the distribution of the field. The method further includes transforming, based on the plurality of extrapolated functions in the configuration file, the source event stream to obtain a transformed event stream, and analyzing, by a target machine learning model, the transformed event stream.