Abstract: A method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

Abstract: A method of selecting and presenting content based on inferred user preferences is provided. The method includes providing a set of content items having associated descriptive terms and receiving search inputs from an input device and presenting a corresponding subset of content items. The method includes receiving selection actions of content items and analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the input device. The method includes inferring preferences of individual users from the composite set of preferred descriptive terms by decomposing the composite set of preferred descriptive terms into individual sets of preferred descriptive terms. The decomposition act utilizes prespecified statistical models of preferences.

Abstract: A method of selecting and presenting content based on context-sensitive learned user preferences is provided. The method includes providing a set of content items having descriptive terms. The method includes receiving user input for identifying items and, in response thereto, presenting a subset of items. The method includes receiving user selections of said items and analyzing the descriptive terms of those items to learn the user's content preferences. The method includes determining the context in which the user performed the selections and associating those contexts with the user content preferences learned from the corresponding user selections. The method includes, in response to subsequent user input, determining a context of said subsequent input and selecting and ordering a collection of items based on comparing those items' descriptive terms with the user's learned content preferences associated with the determined context in which the user entered the subsequent input.

Abstract: A method of selecting and presenting content based on learned user preferences is provided. The method includes receiving search input from the user for identifying desired content items and receiving content selection actions from the user. The method further includes analyzing the date, day, and time of content selection actions by the user and analyzing descriptive terms associated with the selected content items to learn a periodicity of user selections of similar content items. In response to subsequent searches by the user, the method calls for selecting and ordering a collection of content items for presentation to the user based on comparing the user's search input to descriptive terms associated with content items and based on the learned periodicities of the user.

Abstract: A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

Abstract: A method of selecting and presenting content based on inferred user preferences is provided. The method includes providing a set of content items having associated descriptive terms and receiving search inputs from an input device and presenting a corresponding subset of content items. The method includes receiving selection actions of content items and analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the input device. The method includes inferring preferences of individual users from the composite set of preferred descriptive terms by decomposing the composite set of preferred descriptive terms into individual sets of preferred descriptive terms. The decomposition act utilizes prespecified statistical models of preferences.

Abstract: A method of selecting and presenting content based on detecting an increased level of activity associated with the content is presented. The method includes providing a set of content items with associated descriptive terms. The method includes receiving user search input for identifying desired content items and, in response to the incremental input entered by the user, presenting a subset of content items to the user. The method further includes receiving actions from the user selecting content items from the subset and analyzing the descriptive terms associated with the selected content items to detect an increased level of activity for descriptive terms associated with the content items selected by the users. The method includes, in response to receiving subsequent user search input, selecting and ordering a collection of content items based on promoting the ranking of content items associated with descriptive terms that have an increased level of recent activity.

Abstract: A method of selecting and presenting content based on detecting an increased level of activity associated with the content is presented. The method includes providing a set of content items with associated descriptive terms. The method includes receiving user search input for identifying desired content items and, in response to the incremental input entered by the user, presenting a subset of content items to the user. The method further includes receiving actions from the user selecting content items from the subset and analyzing the descriptive terms associated with the selected content items to detect an increased level of activity for descriptive terms associated with the content items selected by the users. The method includes, in response to receiving subsequent user search input, selecting and ordering a collection of content items based on promoting the ranking of content items associated with descriptive terms that have an increased level of recent activity.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on navigation and selection behavior of the user learned over time is presented. The method includes providing a set of content items each with an associated relevance weight and an associated actual person. The method further includes organizing the set of content items into groups of content based in part on actual groups of which the associated actual person is a member. The method further includes receiving the users navigation and selection actions and adjusting the relevance weights of selected content items. In response to subsequent user input, the method calls for selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: Methods of and systems for selecting and presenting content based on user identification are provided. A user-interface method of selecting and presenting content items in which the presentation is ordered at least in part based on inferring which user of a collection of users is using an input device includes providing a set of content items, providing a set of preference information for each user indicating content item preferences of a corresponding user, and providing a set of user keypress biometric models representing expected keypress activity for the corresponding user. User keypress activity to identify desired content items is monitored to biometrically characterize the user and analyzed to find the closest match to one of the keypress biometric models. Based on the closest match, which user of the collection of users entered the input is inferred and the corresponding preference information is used to select, order, and present content items.

Abstract: Information is retrieved from a list of members of a group call group. Based on the retrieved information, a group call is established between first and second mobile stations (MS). The first MS is served by a first base station controller (BSC) and the second MS is served by a second BSC. Voice data for the group call is transmitted in a multicast session. Based on a history of group calls between two points in a mobile communications network, a determination is made as to whether to establish a multicast session between the two points, e.g., in anticipation of a future group call.

Abstract: Methods and systems for providing fine grain call admission control into a communication network are disclosed. Under some embodiments, the fine grain control maximizes profitability of calls serviced by the network on a call class basis.

Abstract: A method is disclosed for determining the shortest paths between a source node and a destination node in a network wherein the paths satisfy imposed system constraints. In accordance with the method of the invention, candidate paths are evaluated by accumulating system parameter information from a source node and projecting the system parameter information ahead to the destination node. When the accumulated and projected system parameter information for the candidate path satisfies the imposed system constraints, the candidate path is saved for further evaluation. The candidate paths are sorted in the order such that those paths most-likely to have the shortest lengths and satisfy the imposed system constraint are evaluated first. In one embodiment of the invention, candidate paths that fail to satisfy the imposed system constraints are removed from further processing. Thus, only candidate paths that have at least one complete path that satisfies the imposed system constraints are evaluated further.

Abstract: Methods and systems for determining and maintaining dormancy timers for subscribers in a wireless wide area network that promote efficient use of the radio channels are disclosed. Subscriber usage is monitored to determine subscriber usage statistics. Based on the subscriber statistics, a dormancy timer value is determined for a given subscriber. The dormancy timer for the given subscriber is then set with the dormancy timer value.

Abstract: A packet network employs routers that determine network routing based on quality of service (QoS) provisioning parameters and network topology information. QoS provisioning parameters are provided to each router from a network management database, and the network topology information is determined from a link state database of the router. The link state database may include network topology information collected by the router in accordance with the open shortest path protocol (OSPF). A network link, router, or other node failure initiates a new path-selection process. First, a temporary set of provisioning entries may be determined with a shortest path first (SPF) routing method. Then, the network packet flows may be classified into packet flows, real-time and non-real-time, and then as packet flows that require reserved bandwidth or that may be multiplexed.

Abstract: Information is retrieved from a list of members of a group call group. Based on the retrieved information, a group call is established between first and second mobile stations (MS). The first MS is served by a first base station controller (BSC) and the second MS is served by a second BSC. Voice data for the group call is transmitted in a multicast session. Based on a history of group calls between two points in a mobile communications network, a determination is made as to whether to establish a multicast session between the two points, e.g., in anticipation of a future group call.