Ex Parte Pestoni et al - Page 7

               Appeal 2007-0962                                                                             
               Application 09/928,347                                                                       
                                                                                                           
                      In operation, POP client server 80 receives virtual channels 124                      
               broadcast from the network operations center (NOC) 18.  The POP client                       
               server, in turn, propagates those virtual channels that have actually been                   
               requested by at least one client 20 to user machine 18 (Noll, ¶¶ 0076, 0044;                 
               Fig. 11).                                                                                    
                      Significantly, the POP client server in Noll also determines the                      
               bandwidth capacity of the user machine 18.  Based on this determination,                     
               only those virtual channels that do not exceed the available bandwidth are                   
               propagated to the user machine (Noll, ¶¶ 0077-78; Fig. 12).4  In our view,                   
               such a selective allocation of bandwidth to accommodate transmitted virtual                  
               channels in Noll fully meets the dynamic bandwidth allocation and user                       
               access allocation limitations of claim 1.  Appellants’ arguments to the                      
               contrary are simply not commensurate with the scope of the claim language.                   
                      Although Noll indicates that content is targeted based on a single                    
               user’s profile, we see no reason why the skilled artisan would not have                      
               combined the teachings of Hosken – a system that recommends content                          
               based on multiple users’ preferences – with Noll essentially for the reasons                 
               stated by the Examiner.                                                                      
                      Hosken delivers content recommendations to a user based on                            
               combined profiling data collected from multiple users.  Specifically,                        
               Hosken’s system utilizes (1) explicit profiling data provided by the user, and               
               (2) implicit profiling data derived by the referral system 20 to provide                     
               customized recommendations for particular users.  Such profiling data is                     
                                                                                                           
               4 See also Noll, ¶ 0066 (noting that content scheduler 138 may schedule                      
               content based on the bandwidth necessary to receive the content (e.g.,                       
               scheduling high-bandwidth content together)).                                                

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