Ex Parte STACK - Page 4



          Appeal No. 2001-2051                                                         
          Application 08/923,293                                                       
          ratings of items by other system users (col. 1, lines 53-56).                
          The items may be any product or service that can be rated by a               
          user (col. 3, lines 24-27).  The improvement involves determining            
          a similarity in preference of the user as compared to other                  
          users, which is used to determine a subgroup of users having                 
          preferences similar to the first user, and the ratings of the                
          subgroup of users are then used to recommend an item to the first            
          user (abstract; col. 6, lines 29-35).  In order to determine a               
          similarity value, the first user and other user must have ratings            
          in the database for at least one common item (col. 6, lines 25-27            
          & 38-41).  The users in Robinson are required to actively                    
          participate by entering their subjective ratings of items in the             
          group, in contrast to the disclosed invention which uses previous            
          customer activity history to reduce the degree of customer input             
          in prior art systems (specification, p. 2, lines 6-16).                      
               Payton is directed to a virtual on-demand information system            
          (such as for movies, games, computer applications) wherein the               
          information is downloaded to a storage device at the subscriber              
          during non-peak hours based on an information filtering system               
          that predicts items the subscriber might like, and therefore                 
          request.  A subscriber database stores a subscriber profile which            
          includes a rating vector in which the user subscriber has rated              
          each of the items he or she has previously requested (col. 5,                
          lines 6-12).  Alternatively, the system could just record the use            
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