System and Method for Researching Virtual Markets and Optimizing Product Placements and Displays

Abstract

A system and method for researching virtual markets and using the research to optimize product placements and displays. The system includes a monitoring engine configured to monitor information about user reactions and/or at least one product. The system also includes a recommendation engine configured to recommend a location within a virtual universe to display the at least one product based on the information monitored by the monitoring engine and a display engine configured to display the at least one product at a recommended location.

1 . A system comprising:
 a monitoring engine configured to monitor information about a user reaction and/or at least one product;   a recommendation engine configured to recommend a location within a virtual universe to display the at least one product based on the information monitored by the monitoring engine; and   a display engine configured to display the at least one product at a recommended location.   
     
     
         2 . The system of  claim 1 , wherein the monitoring engine is further configured to monitor one or more of a user interaction, a user response, a user opinion, or a user movement. 
     
     
         3 . The system of  claim 1 , further comprising a weighing engine configured to weigh the monitored information about the user reactions and/or the at least one product using a pairwise comparison. 
     
     
         4 . The system of  claim 1 , wherein the recommendation is determined by: where the user places one or more of the at least one product; how the user interacts with the at least one product; the user's opinions and/or comments about the at least one product; how proximate the user places the at least one product to other products; and popularity of similar products. 
     
     
         5 . The system of  claim 1 , wherein the display engine dynamically displays the at least one product. 
     
     
         6 . The system of  claim 1 , further comprising a remuneration engine configured to provide discounted products, rewards, or money to the user. 
     
     
         7 . The system of  claim 1 , further comprising a billing engine configured to charge a vendor for the information about the user and/or the at least one product. 
     
     
         8 . The system of  claim 1 , further comprising an aggregating engine which aggregates user reactions or interactions. 
     
     
         9 . The system of  claim 8 , wherein the recommendation engine recommends the location to place the at least one product based on the aggregated user reactions or interactions. 
     
     
         10 . The system of  claim 8 , further comprising dynamically changing a product display based on the user reactions or interactions. 
     
     
         11 . The method of  claim 8 , wherein the aggregated user reactions or interactions are sold to at least one vendor in the real world. 
     
     
         12 . The system of  claim 1 , comprising:
 a determining engine configured to determine a user status;   the monitoring engine configured to monitor the one or more user reactions or interactions, which include at least one of: where the user places one or more of the at least one product; how the user interacts with the at least one product; the user's opinions and/or comments about the at least one product; how proximate the user places the at least one product to other products; and popularity of similar products;   an assigning engine configured to assign a weight to each of the user reactions or interactions;   a weighing engine configured to weigh the user reactions or interactions;   the recommendation engine configured to recommend the location based on the weighing and the aggregated one or more user reactions or interactions; and   the assessing engine configured to assess a fee for the displaying.