Abstract: A method and apparatus for providing social health tracking over one or more communication networks are disclosed. For example, the method receives a request from a customer for a communication service having a social health tracking feature, and gathers data on one or more interactions for the customer. The method updates a statistical model for the one or more interactions for the customer over a period of time, and determines a social health status for the customer from the statistical model.

Abstract: Systems and techniques for predicting customer response to content and selecting content for delivery to particular customers in accordance with the predictions. As information is delivered to and received from a plurality of customers over multiple communication channels, data streams representing communications between providers and customers are analyzed and selected data extracted therefrom. Linkages are created between data collected from the different channels and data are anonymized. The data are analyzed to create a customer response predictor for each customer that models customer behavior and predicts customer response to advertisements. As content, such as advertisements, are to be delivered to a destination, information from a predictor created using data collected from a customer associated with the destination is used to select appropriate content.

Abstract: Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.

Abstract: Systems and techniques for generating item ratings for a user in order to allow for recommendations of selected items for that user. A set of known ratings of different items for a plurality of users is collected and maintained, and these known ratings are used to estimate rating factors influencing ratings, including user and item factors. Initial user and item factors are estimated and new user and item factors are successively added, with the original rating factors being progressively shrunk so as to reduce their magnitude and their contribution to the rating estimation as successive factors are added. When an appropriate number of user and item factors has been estimated, the rating factors are used to estimate ratings of items for a user, and the estimated ratings are employed to generate recommendations for that user.

Abstract: A method and apparatus for identifying influencers are disclosed. For example, the method obtains a list of customers, and determines a social network for each of the customers. The method selects one or more attributes to be used for predicting a measure of influence for each of the customers, and determines one or more influencers in the social network by using the one or more attributes.