Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore
OwnerSteven M. Hoffberg, Linda I. Hoffberg-Borghesaniinventors
Life of this patent
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Abstract
A system and method of predicting items likely to appeal to a user, based on data received from a remote site. One or more local systems are provided, along with a remote system, said local systems communicating with said remote system over a network connection. Each local system maintains a set of characterized items. A local processor predicts an appeal of an item to a user based on the comparison with the set of characterized items with, e.g., user preferences. The user may interact through graphical user interface. At least one user-preference predictive algorithm may be employed to present items predicted to appeal to the user.
Claims20
A distributed system for predicting items likely to appeal to a user, comprising:
- a plurality of local systems each having a user interface, the user interface being configured to receive respective user input data;
- a remote system, communicating with said local systems over a communication network connection to receive the user input data, producing a set of characterized items by an automated pattern recognition process, correlating at least previously received respective user input data from a respective local system with the set of characterized items, processing the received respective user input data with at least one predictive algorithm for predicting whether user input data is likely in error, and communicating information to the respective local system dependent on the correlation, to thereby predict an appeal to the respective user of items;
- and
- a local processor configured to present at least one item to a user based on the information received from the remote system.
A method of predicting items of media content most likely to appeal to a user and presenting said predictions through a graphical user interface, wherein said predictions are based on user preferences for specific media content, comprising:
- providing an interactive user interface for receiving user preference information;
- predicting whether a user input is likely in error with at least one predictive algorithm;
- predicting a user appeal of an item of media content according to at least one user-preference predictive algorithm executing on an automated processor which operates on the user preference information and characterizations of media content derived from an automated pattern recognition process and, predicts an appeal of respective items of media content to the user;
- and
- displaying items predicted to appeal to the user in said graphical user interface.
A method for selecting content most likely to appeal to a user, wherein said selections represent predictions based on user preferences and context, comprising:
- providing an interactive user machine interface configured to define a context, and to receive preference information from a user based on an interaction of the user with the interactive user machine interface;
- predicting whether a user input is likely in error with at least one predictive algorithm;
- automatically predicting an appeal of an item of content to a user based on at least one user-preference predictive algorithm which employs machine pattern recognition to produce a characterization of a plurality of items of content, and compares the preference information with the characterizations;
- and
- presenting context-appropriate items predicted to appeal to the user through said interactive user machine interface.
Dependencies are inferred from the claim text.