Abstract: Methods and systems for processing data, including metadata and an index database. In one exemplary method, a first folder, representing a first search query, is stored, and a second folder, representing a second search query wherein the second folder has a predetermined hierarchical relationship to the first folder, is stored, and the search queries are used to search one or both of an index database and a metadata database. In the metadata database, the type of metadata for one file type differs from the type of metadata for another file type.

Abstract: Systems and methods for generating incremental backups are provided. In one implementation a method is provided. The method includes receiving, while a current view is displayed in a user interface, a first user input requesting that a history view associated with the current view be displayed. The history view is displayed in response to the first user input, the history view including at least a first visual representation of an earlier version of the current view, the earlier version including a first element. A second user input is received while the history view is displayed. The second user input requests that the current view be modified according to the earlier version, at least with regard to the first element.

Abstract: Methods and systems for processing data, including metadata and an index database. In one exemplary method, a first folder, representing a first search query, is stored, and a second folder, representing a second search query wherein the second folder has a predetermined hierarchical relationship to the first folder, is stored, and the search queries are used to search one or both of an index database and a metadata database. In the metadata database, the type of metadata for one file type differs from the type of metadata for another file type.

Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Abstract: A method, apparatus, and signal-bearing medium that filter data based on a criteria. In an embodiment, the criteria may be related to filtering out unwanted or junk input data. In another embodiment, the criteria may be related to filtering based on desired data. In various embodiments, the data may be email, email attachments, faxes, popup windows, telephone messages, downloaded data or programs, image data, or other data. In a embodiment, a training mode and an automatic mode are provided. During the training mode, a user may be presented with data that may be junk, and feedback may be provided that is used to train a junk filter. During an automatic mode, junk data may be removed from view, transferred to a junk box, or highlighted.

Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Abstract: Systems and methods for managing data are provided. Data such as metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. A single search input is received and the search is performed through the metadata and content of the plurality of files and subset of the plurality of files stored on a user's data processing system. The search input is saved in a folder for performing future searches.

Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Abstract: Methods, systems, and computer-readable medium for providing an audio file interface. In one implementation, a method is provided. The method includes, while playing an audio file on a mobile device and displaying a current view in a user interface of the mobile device, receiving first user input requesting that an audio interface be displayed, and displaying the audio interface as an overlay in the user interface, where the audio interface includes information associated with the audio file.

Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Abstract: Adaptive mobile device navigation system, methods, and apparatus provide location information for a mobile device performing location estimation using dead reckoning. Multiple estimation modes can be selected including a mode for restricting measured movements to surrounding streets. Updated location fixes can be obtained through turn comparison with surrounding map information and user feedback. User feedback prompts can include photographs having geographic tag information corresponding to locations near an estimated location of the device.

Abstract: A mobile device can be configured as a base station to be used by other mobile devices and non-mobile devices to gain access to network services. The mobile device can be configured to provide and manage secure access to variety of networks (e.g., Wi-Fi, WiMax, Internet, cellular) and network services (e.g., map services, web services, syncing services).

Abstract: A user input is received on a wireless device specifying a starting location. The position of the wireless device is tracked from the starting location in response to the user input. A user input is received on the wireless device specifying an ending location, and a route is generated from the tracking of the wireless device from the starting location to the ending location. A first reference is associated with the route, wherein the route is retrievable by a selection of the first reference.

Abstract: User-applications provided by mobile devices are integrated. In one aspect, an email message is received at a mobile device from an email address and a representation of the email message is displayed on a graphical user interface. An input is received from a user indicating a selection of the email address. Contact information corresponding to a set of contacts is searched for a contact having a contact email address matching the email address. Contact information for the contact includes a geographic location for the contact. A display of a map is provided to the user. The display includes a graphical representation indicating the geographic location for the contact having a contact email address matching the email address.

Abstract: Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences, which can be presented to a user for navigation purposes.

Abstract: Methods, systems, and apparatus, including computer program products, for location-based services. An event or device condition is detected at a device. A current geographic location of a device is determined. Location-based information based on the determined current geographic location is received. The location-based information includes information relevant to the event or device condition. The information is presented.

Abstract: Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences including those derived from historical selection or use, which can be presented to a user for navigation purposes.

Abstract: A first mobile device can transmit data related to a route. A second mobile device can receive the route data from the first mobile device. The route data can be a route map displayed on a multi-touch-sensitive display of the second mobile device. A route engine can determine whether the second mobile device is at a location defined by a route locus based on the route data and location data of the second mobile device. The route engine can provide an indication at the first mobile device for a route location of the second mobile device based on the determination. The provided indication can be a route map with the route location of the second mobile device. The route map can include the route location of the second mobile device, directions to the route location, and an estimated travel time to the route location.

Abstract: Information presented to a user via an information access system is ranked according to a prediction of the likely degree of relevance to the user's interests. A profile of interests is stored for each user having access to the system. Items of information to be presented to a user are ranked according to their likely degree of relevance to that user and displayed in order of ranking. The prediction of relevance is carried out by combining data pertaining to the content of each item of information with other data regarding correlations of interests between users. A value indicative of the content of a document can be added to another value which defines user correlation, to produce a ranking score for a document. Alternatively, multiple regression analysis or evolutionary programming can be carried out with respect to various factors pertaining to document content and user correlation, to generate a prediction of relevance.