Ex Parte Gutta et al - Page 3

                Appeal 2007-1122                                                                             
                Application 09/966,414                                                                       

                      of any other data-classes, so that the first user profile is                           
                      expanded in scope according to preferences stored in the second                        
                      user profile.                                                                          
                            9.  A data-class recommender, comprising:                                        
                            a learning engine;                                                               
                            a user interface device operably coupled to the learning                         
                      engine;                                                                                
                            the learning engine being operably coupled to a data                             
                      source containing descriptions of data selections;                                     
                            the learning engine being programmed to:                                         
                                   receive, through the user interface device,                               
                            feedback from a first user evaluating the data selections;                       
                                   progressively generate a description of data                              
                            selections that are favored and disfavored by the first user                     
                            based on the feedback, thereby generating a first user                           
                            profile;                                                                         
                                   generate recommendations of data selections for                           
                            the first user responsively to the first user profile; and                       
                                   selectively generate recommendations of data                              
                            selections for the first user responsively to the first user                     
                            profile and at least a second user profile of a second user;                     
                            wherein                                                                          
                            the learning engine is programmed such that the first user                       
                      profile includes                                                                       
                                   a narrow description defining target data selections                      
                            and                                                                              

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