Abstract: The disclosure herein describes generating input key-standard key mappings for a form. A set of input key-value pairs are received, and a subset of candidate form types are determined from a set of form types using the input key-value pairs. A set of standard keys associated with the determined subset of candidate form types are obtained. A set of input key-standard key pairs are generated using the set of input key-value pairs and the obtained set of standard keys and the set of input key-standard key pairs are narrowed using a narrowing rule. Ranking scores for each input key-standard key pair of the narrowed set of input key-standard key pairs are generated. Each input key of the set of input key-vale pairs is mapped to a standard key of the set of standard keys using at least the generated ranking scores of the narrowed set of input key-standard key pairs.

Abstract: Data from social networking applications and other applications that can be used to communicate are combined for a user to generate a graph of the various relationships that the user has with other users in the social networking applications and other applications. In addition, the behaviors of each user with respect to communicating through the various social networking applications and other applications are monitored to generate task data that describes user preferences for communicating using each social networking application or other application for different tasks. At a later time, when a user is looking to connect with another user for an indicated task such as networking, the graph can be used to recommend paths to other users in the various social networking applications and other applications, and the generated task data can be used to rank the recommended paths based on the indicated task.

Abstract: Data from social networking applications and other applications that can be used to communicate are combined for a user to generate a graph of the various relationships that the user has with other users in the social networking applications and other applications. In addition, the behaviors of each user with respect to communicating through the various social networking applications and other applications are monitored to generate task data that describes user preferences for communicating using each social networking application or other application for different tasks. At a later time, when a user is looking to connect with another user for an indicated task such as networking, the graph can be used to recommend paths to other users in the various social networking applications and other applications, and the generated task data can be used to rank the recommended paths based on the indicated task.

Abstract: Data from social networking applications and other applications that can be used to communicate are combined for a user to generate a graph of the various relationships that the user has with other users in the social networking applications and other applications. In addition, the behaviors of each user with respect to communicating through the various social networking applications and other applications are monitored to generate task data that describes user preferences for communicating using each social networking application or other application for different tasks. At a later time, when a user is looking to connect with another user for an indicated task such as networking, the graph can be used to recommend paths to other users in the various social networking applications and other applications, and the generated task data can be used to rank the recommended paths based on the indicated task.

Abstract: Data from social networking applications and other applications that can be used to communicate are combined for a user to generate a graph of the various relationships that the user has with other users in the social networking applications and other applications. In addition, the behaviors of each user with respect to communicating through the various social networking applications and other applications are monitored to generate task data that describes user preferences for communicating using each social networking application or other application for different tasks. At a later time, when a user is looking to connect with another user for an indicated task such as networking, the graph can be used to recommend paths to other users in the various social networking applications and other applications, and the generated task data can be used to rank the recommended paths based on the indicated task.

Abstract: Disclosed herein is a system and method for generating a user profile for a user from multiple different data sources and providing recommendations to a user that are directed to benefiting the user and not benefiting a particular merchant or service provider. This disparate data is taken from multiple different data sources that are often competitors of one another. From the multiple data sources the same transaction or event can be determined and correlated with each other. This information is then processed to generate the user's profile which is used to generated recommendations for the user based on the user's needs. Recommendations that are presented can be positive or negative recommendations.

Abstract: The present invention extends to methods, systems, and computer program products for exploring and selecting data cleansing service providers. Embodiments of the invention permit a user to explore different data cleansing service providers and compare quality results from the different data cleansing service providers. Sample data is mapped to a specified data domain. A list of service providers, for cleansing data for the selected data domain, is provided to a user. The user selects a subset of service providers. The sample data is submitted to the subset of service providers, which return results including allegedly cleansed data. The results are profiled and a comparison of the subset of service providers is presented to the user. The user selects a service provider to use when cleansing further data.

Abstract: The present invention extends to methods, systems, and computer program products for exploring and selecting data cleansing service providers. Embodiments of the invention permit a user to explore different data cleansing service providers and compare quality results from the different data cleansing service providers. Sample data is mapped to a specified data domain. A list of service providers, for cleansing data for the selected data domain, is provided to a user. The user selects a subset of service providers. The sample data is submitted to the subset of service providers, which return results including allegedly cleansed data. The results are profiled and a comparison of the subset of service providers is presented to the user. The user selects a service provider to use when cleansing further data.

Abstract: The present invention extends to methods, systems, and computer program products for exploring and selecting data cleansing service providers. Embodiments of the invention permit a user to explore different data cleansing service providers and compare quality results from the different data cleansing service providers. Sample data is mapped to a specified data domain. A list of service providers, for cleansing data for the selected data domain, is provided to a user. The user selects a subset of service providers. The sample data is submitted to the subset of service providers, which return results including allegedly cleansed data. The results are profiled and a comparison of the subset of service providers is presented to the user. The user selects a service provider to use when cleansing further data.

Abstract: The subject disclosure generally relates to parsing unstructured data based on knowledge of domains related to the unstructured data. A domain identification component can identify a set of domains related to a term in a data set. An inspection component can identify unmatched words, and unmatched related domains. A correlation component can compare the unmatched words to known values for the unmatched domains, and a manager component can match the unmatched words with the unmatched domains based on the comparison. In addition, combinations of the words can be generated based on a set of predetermined rules, and compared to the unmatched domains. Furthermore, delimiter based parsing can be employed to augment the knowledge based parsing.

Abstract: The present invention extends to methods, systems, and computer program products for exploring and selecting data cleansing service providers. Embodiments of the invention permit a user to explore different data cleansing service providers and compare quality results from the different data cleansing service providers. Sample data is mapped to a specified data domain. A list of service providers, for cleansing data for the selected data domain, is provided to a user. The user selects a subset of service providers. The sample data is submitted to the subset of service providers, which return results including allegedly cleansed data. The results are profiled and a comparison of the subset of service providers is presented to the user. The user selects a service provider to use when cleansing further data.