Abstract: A system and method of accessing web or network sites interfacing through a walled garden web server by dynamically expanding the reach of the walled garden on a user-by-user basis, based on the content that is returned to the user. The system includes a traffic analyzer and filter, a traffic forwarder, a traffic tagger, and a traffic redirector. A plurality of databases interface with the traffic analyzer and filter for appropriately manipulating web traffic from users by matching URL requests from a user with seed URLs in one or more of the databases. A depth parameter may be associated with a URL, indicating the number of times a particular domain has been traversed by a particular user. A depth rating database may be used to specify the number of times a particular URL may be accessed.

Abstract: A dynamic wireless network discovery system, apparatus and method are provided for users of wireless device to find, connect to, and use wireless networks in an automated manner. New gained knowledge about a wireless network is shared with a central server, which in turn aggregates knowledge about wireless networks collected from various wireless devices, and takes all this aggregated knowledge and reduces the individual data points to aggregate data that provides valuable information about the status of the networks. The central server then in turn distributes this information to a software client operating on wireless devices. Dynamically learned wireless network information is shared from one wireless device with other wireless devices through the distributed intelligence network, either through the central server or by communicating with other wireless devices, providing group-based intelligence about wireless networks to other wireless devices.

Abstract: A system and method of accessing web or network sites interfacing through a walled garden web server by dynamically expanding the reach of the walled garden on a user-by-user basis, based on the content that is returned to the user. The system includes a traffic analyzer and filter, a traffic forwarder, a traffic tagger, and a traffic redirector. A plurality of databases interface with the traffic analyzer and filter for appropriately manipulating web traffic from users by matching URL requests from a user with seed URLs in one or more of the databases. A depth parameter may be associated with a URL, indicating the number of times a particular domain has been traversed by a particular user. A depth rating database may be used to specify the number of times a particular URL may be accessed.

Abstract: A dynamic wireless network discovery system, apparatus and method are provided for users of wireless device to find, connect to, and use wireless networks in an automated manner. New gained knowledge about a wireless network is shared with a central server, which in turn aggregates knowledge about wireless networks collected from various wireless devices, and takes all this aggregated knowledge and reduces the individual data points to aggregate data that provides valuable information about the status of the networks. The central server then in turn distributes this information to a software client operating on wireless devices. Dynamically learned wireless network information is shared from one wireless device with other wireless devices through the distributed intelligence network, either through the central server or by communicating with other wireless devices, providing group-based intelligence about wireless networks to other wireless devices.