Abstract: Disclosed is a distributed profile building system, gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also disclosed is a method for building user profiles using a distributed profile building system by gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also included is a targeted promotion system, which includes software for making real-time promotions for select products based on retail customers' individual characteristics. Additionally, a targeted digital coupon management system creates, delivers and facilitates redemption of various types of digital coupons according to the business rules set by the retailers.

Abstract: Disclosed is a distributed profile building system, gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also disclosed is a method for building user profiles using a distributed profile building system by gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also included is a targeted promotion system, which includes software for making real-time promotions for select products based on retail customers' individual characteristics. Additionally, a targeted digital coupon management system creates, delivers and facilitates redemption of various types of digital coupons according to the business rules set by the retailers.

Abstract: Disclosed is a distributed profile building system, gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles. Also disclosed is a method for building user profiles using a distributed profile building system by gathering video data, audio data, electronic device identification data, and spatial position data from multiple input devices, performing human emotion and identity detection, and gaze tracking, and forming user profiles.

Abstract: A system for personalizing interactive services provided to users of voice and data enabled communications devices, including users of SMS, MMS and WAP enabled communications devices. The system is designed to access source information associated with a particular requester for a service and to map the source information to personalization information associated with a user of the system. The source information is extracted in various embodiments from different types of communications channels. The personalization information is employed by the system to influence the behavior of the system while providing an interactive service to the user.

Abstract: A system for personalizing interactive services provided to users of voice and data enabled communications devices, including users of SMS, MMS and WAP enabled communications devices. The system is designed to access source information associated with a particular requester for a service and to map the source information to personalization information associated with a user of the system. The source information is extracted in various embodiments from different types of communications channels. The personalization information is employed by the system to influence the behavior of the system while providing an interactive service to the user.

Abstract: A system for providing remote interactive services to users of portable data and voice enabled communications devices, including users of SMS and WAP enabled communications devices. The system interfaces with a user of a communications device in a manner that employs a sequence of different types of interactive sessions over time. An interface with the user is provided that transitions between different types of communication sessions in real time, to appropriately and effectively respond to one or more requests transmitted from the user of the communications device.

Abstract: A system for personalizing interactive services provided to users of voice and data enabled communications devices, including users of SMS, MMS and WAP enabled communications devices. The system is designed to access source information associated with a particular requester for a service and to map the source information to personalization information associated with a user of the system. The source information is extracted in various embodiments from different types of communications channels. The personalization information is employed by the system to influence the behavior of the system while providing an interactive service to the user.

Abstract: A system for providing remote interactive services to users of portable data and voice enabled communications devices, including users of SMS and WAP enabled communications devices. The system interfaces with a user of a communications device in a manner that employs a sequence of different types of interactive sessions over time. An interface with the user is provided that transitions between different types of communication sessions in real time, to appropriately and effectively respond to one or more requests transmitted from the user of the communications device.

Abstract: A system and method is described for instantly connecting and matching people and business entities with reciprocal interests in the location of their presence in real-time. Portable communication devices using wireless communication are used for transmitting data between users with reciprocal interests connected through a peer-to-peer network or in a client-server environment. Telephone users utilize an Interactive Voice Response system to communicate with other users of reciprocal interest. A matching algorithm running in a remote computer connected to the devices through network makes an initial assessment about the likelihood of a match, and then with the permission of the requester and the respondent, sets up communication sessions.

Abstract: Neural computing techniques are used to optimize route selection in a communication network, such as an ATM network. Output measurements of the network are used to provide optimal routing selection and traffic management. Specifically, link data traffic is monitored in the network to obtain traffic history data. An autoregressive backpropagation neural network is trained using the traffic history data to obtain respective predicted traffic profiles for the links. Particular links are then selected for carrying data based on the predicted traffic profiles. A cost function, limits on network parameters such as link cost and cell rate, and other quality of service factors are also considered in selecting the optimal route.