Abstract: The claimed subject matter provides a system and/or a method that facilitates re-locating a web application associated with a network service utilizing a portion of serialized data. The network service can be any collection of resources that are maintained by a party (e.g., third-party, off-site, etc.) and accessible by an identified user over a network (e.g., WAN, Internet, etc.). A receiver component can receive a request for initiating and execution of a process that is maintained by the network service. A servicing component can analyze representations of multiple processes within the network service and determines whether to enable initiation and execution of the process based at least in part upon the analysis.

Abstract: A system and method that facilitates and effectuates communications between disparate clients that reside in a network topology (e.g., cloud). The system and method provides a component that receives one or more prospective end points, a set of desired communication criteria/characteristics, and desired content extant on one of the clients that reside on network topology. Additionally, the system and method provides a component that establishes communications pathways to one or more prospective end points or to subsequently identified end points to facilitate transfer of desired content from the end point to a requesting client.

Abstract: The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.

Abstract: A method and system for customizing a search of a data source linked to a computer in response to a search request from a user. A search tool application (STA) is executed on a client computer in response to the search request received from the user. The STA determines the context of a software application active when the STA is executed. The STA determines a scope of data to search based on the determined context. A user-interface is responsive to a search term received from a user to initiates a search the determined scope of data for content that matches the received search term. The results of the search are displayed in the UI.

Abstract: Application launching on a computer via indexed data. Based on a search term entered by a user, the computer searches an index containing metadata representative of one or more applications installed on the computer. A user interface on the computer's display has a window for displaying the results of searching the index. In addition, the user interface receives user input to select an application from the search results to be initiated. The computer is responsive to the user input via the user interface for initiating the selected application installed on the computer. A computer-readable medium including a persistent component, an index component, a query component, and an execution component embodies further aspects of the invention.

Abstract: A web accelerator reduces web latency experienced when retrieving and displaying content. The web accelerator includes an interceptor component, a resolver component, a predictor component and a tracer component. The interceptor component captures web requests. The web requests are tracked by the tracer component, which logs the web requests to generate a statistical model that reflects web browsing activity. The predictor component utilizes the statistical model to predict subsequent web requests, and the resolver component resolves hostnames specified in the subsequent web requests and pre-loads content specified in the subsequent web requests when there is a strong likelihood that a user is interested in the content specified in the subsequent web requests.

Abstract: The present invention provides at least a method for automatically filling forms appearing on web pages. With respect to the present invention, a user populates personal information such as addresses, credit cards, and passwords in a tool to subsequently fill forms without re-typing the same. The user may input the personal information or retrieve it from another source. The tool gives the user flexibility in selecting the personal information to be populated in the form.

Abstract: A method and system are provided for enhancing an initial set of data values generated by a query of one or more data stores. File parameters and file types are retrieved from the initial query and used to generate a second set of searches, actions, and information related to the initial set of data values. The results from the initial query and the secondary query are displayed on a presentation device.

Abstract: Systems and Methods for configuration of a menu for display via a user interface are described. In an implementation, a method includes monitoring text input by a user via a user interface. A menu is configured, based on the monitoring, to display actions to be performed using the text. In another implementation, a method includes examining a plurality of inputs received from a user. The inputs specify text and selection of an action from a menu to be performed on the text. An alternative technique is displayed that may be utilized to enter the text and perform the action.

Abstract: The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.

Abstract: The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.