Abstract: A Personal TV System receives a plurality of video segments constituting a TV program and information describing each segment, and controls the display of the segments to a viewer in accordance with preferences of the viewer and with the description of each segment. Segments may be omitted or replaced with substitute segments. The viewer may review his preferences and edit or replace them. In a multi-viewer household, the system may prompt a viewer to confirm her preferences. A TV program may contain interactive segments, and when the viewer chooses to interact with a particular segment, the system automatically stores all subsequently received segments for later viewing while the viewer interacts with the selected segment. The system may present TV program choices to the viewer selected and arranged in accordance with her preferences.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: A method and system for generating a user interface in a plurality of multiple devices connected to the network system for controlling devices that are currently connected to a network. A network system includes a physical layer, wherein the physical layer provides a communication medium than can be used by devices to communicate with each other, and multiple devices connected to the physical layer, one or more of said multiple devices storing information including device information.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: A Personal TV System receives a plurality of video segments constituting a TV program and information describing each segment, and controls the display of the segments to a viewer in accordance with preferences of the viewer and with the description of each segment. Segments may be omitted or replaced with substitute segments. The viewer may review his preferences and edit or replace them. In a multi-viewer household, the system may prompt a viewer to confirm her preferences. A TV program may contain interactive segments, and when the viewer chooses to interact with a particular segment, the system automatically stores all subsequently received segments for later viewing while the viewer interacts with the selected segment. The system may present TV program choices to the viewer selected and arranged in accordance with her preferences.

Abstract: A Personal TV System receives a plurality of video segments constituting a TV program and information describing each segment, and controls the display of the segments to a viewer in accordance with preferences of the viewer and with the description of each segment. Segments may be omitted or replaced with substitute segments. The viewer may review his preferences and edit or replace them. In a multi-viewer household, the system may prompt a viewer to confirm her preferences. A TV program may contain interactive segments, and when the viewer chooses to interact with a particular segment, the system automatically stores all subsequently received segments for later viewing while the viewer interacts with the selected segment. The system may present TV program choices to the viewer selected and arranged in accordance with her preferences.

Abstract: A method and a system for electronically transacting a purchase between a purchaser and a merchant are disclosed. The method includes storing accrued incentives on an intelligent data carrier medium via interactive television (DTV/STB) equipment and redeeming a discount or a value corresponding to the accrued incentives present on the data carrier medium when a purchase is made. The electronic purchase system using an electronic network contains a purchaser interactive television (DTV/STB) equipment connected to the electronic network, a fixed intelligent data carrier medium connected to the interactive television (DTV/STB) equipment for service authentication and decryption and a detachable intelligent data carrier medium connected to the interactive television (DTV/STB) equipment.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: A method and a system for electronically transacting a purchase between a purchaser and a merchant are disclosed. The method includes storing accrued incentives on an intelligent data carrier medium via interactive television (DTV/STB) equipment and redeeming a discount or a value corresponding to the accrued incentives present on the data carrier medium when a purchase is made. The electronic purchase system using an electronic network contains a purchaser interactive television (DTV/STB) equipment connected to the electronic network, a fixed intelligent data carrier medium connected to the interactive television (DTV/STB) equipment for service authentication and decryption and a detachable intelligent data carrier medium connected to the interactive television (DTV/STB) equipment.

Abstract: A method and a system for electronically transacting a purchase between a purchaser and a merchant are disclosed. The method includes storing accrued incentives on an intelligent data carrier medium via interactive television (DTV/STB) equipment and redeeming a discount or a value corresponding to the accrued incentives present on the data carrier medium when a purchase is made. The electronic purchase system using an electronic network contains a purchaser interactive television (DTV/STB) equipment connected to the electronic network, a fixed intelligent data carrier medium connected to the interactive television (DTV/STB) equipment for service authentication and decryption and a detachable intelligent data carrier medium connected to the interactive television (DTV/STB) equipment.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: A method for displaying a TV program to a viewer, comprising receiving a plurality of TV programs, allowing the viewer to select one of the plurality of received TV programs for viewing, and responding to the viewer selection by controlling the programming displayed to the viewer in accordance with the viewer selection and with previously determined viewing preferences of the viewer. Controlling the programming displayed to the viewer may include displaying the viewer selected program and additional programs selected in accordance with the previously determined viewing preferences of the viewer. The additional programs may include advertisements.

Abstract: Television program availability and recordings are personalized by learning the program preferences of the TV and PDR user. This is effected over a period of time by observing, recording and processing user activity. A viewing record module agent (VRM) and a program information viewing history agent (CDM) are software agents that, according to built-in algorithms, operate on user activity and other events to ultimately produce preference profile information in special purpose relational databases (CDB, viewing history database).

Abstract: A Personal TV System receives a plurality of video segments constituting a TV program and information describing each segment, and controls the display of the segments to a viewer in accordance with preferences of the viewer and with the description of each segment. Segments may be omitted or replaced with substitute segments. The viewer may review his preferences and edit or replace them. In a multi-viewer household, the system may prompt a viewer to confirm her preferences. A TV program may contain interactive segments, and when the viewer chooses to interact with a particular segment, the system automatically stores all subsequently received segments for later viewing while the viewer interacts with the selected segment. The system may present TV program choices to the viewer selected and arranged in accordance with her preferences.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming.

Abstract: A method and system for providing a user interface for a user to discover and control devices that are currently connected to a network, such that at least one of the devices performs steps, by: (a) obtaining information from one or more of the devices currently connected to the network, the information including device information; and (b) generating a user interface description based at least on the obtained information, the user interface description including a reference associated with the device information of each of the devices currently connected to the network, such that the reference includes at least one link to information contained in the devices currently connected to the network. As such, a user interface can be displayed using the references in the user interface description, for controlling the devices currently connected to the network.

Abstract: A method and system is provided for detecting, commanding and controlling diverse home devices currently connected to a home network. An interface is provided for accessing the home devices that are currently connected to a home network. According to the method, a device link file is generated, wherein the device link file identifies home devices that are currently connected to the home network. A device link page is created, wherein the device link page contains a device button that is associated with each home device that is identified in the device link file. A hyper-text link is associated with each device button, wherein the hyper-text link provides a link to an HTML page that is contained on the home device that is associated with the device button, and the device link page is displayed on a browser based home device.

Abstract: A method and system for generating a user interface in a plurality of multiple devices connected to the network system for controlling devices that are currently connected to a network. A network system includes a physical layer, wherein the physical layer provides a communication medium than can be used by devices to communicate with each other, and multiple devices connected to the physical layer, one or more of said multiple devices storing information including device information.

Abstract: A method and system for providing a user interface for a user to discover and control devices that are currently connected to a network, such that at least one of the devices performs steps, by: (a) obtaining information from one or more of the devices currently connected to the network, the information including device information; and (b) generating a user interface description based at least on the obtained information, the user interface description including a reference associated with the device information of each of the devices currently connected to the network, such that the reference includes at least one link to information contained in the devices currently connected to the network. As such, a user interface can be displayed using the references in the user interface description, for controlling the devices currently connected to the network.