Inferential-based Physical Object Arrangement Method and System

Abstract

An inferential-based physical object arrangement method and system infers user preferences from user behaviors and automatically selects computer-implemented objects that represent physical objects based upon the inferred preferences. A media instance is generated for delivery to a user that comprises spatially arranged representations of a selected computer-implemented object and representations of other physical objects that are accessed from a digital map. Computer-implemented neural networks may be applied to infer user preferences by interpreting pictorial-based information and/or to interpret from pictorial-based information the physical objects that are included in the media instances. Natural language-based explanations comprising the reasoning for the delivery of a media instance to a user may be delivered to the user.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 inferring automatically a user preference from a plurality of user behaviors;   accessing automatically a digital map comprising a plurality of representations of physical objects and their associated physical locations;   selecting automatically a computer-implemented object that represents a physical object based, at least in part, upon the inference of the user preference;   generating automatically a recommended media instance comprising a spatially arranged representation of the selected computer-implemented object and the plurality of representations of the physical objects; and   delivering automatically the media instance to a user.   
     
     
         2 . The method of  claim 1 , further comprising:
 inferring automatically the user preference from the plurality of user behaviors, wherein the inferring is performed in accordance with input from a user-controlled inference tuning function.   
     
     
         3 . The method of  claim 1 , further comprising:
 inferring automatically the user preference from the plurality of user behaviors, wherein the inferring of the preference is based upon the application of a plurality of inference weightings that are determined in accordance with usage behavior priority rules that are applied to the plurality of user behaviors.   
     
     
         4 . The method of  claim 1 , further comprising:
 inferring automatically the user preference from the plurality of user behaviors, wherein the preference is inferred based upon an automatic analysis of pictorial-based information, wherein the automatic analysis is performed through application of a computer-implemented neural network.   
     
     
         5 . The method of  claim 1 , further comprising:
 accessing automatically the digital map comprising the plurality of representations of the physical objects, wherein the physical objects are interpreted from pictorial-based information by application of a computer-implemented neural network.   
     
     
         6 . The method of  claim 1 , further comprising:
 generating automatically the recommended media instance comprising the selected computer-implemented object and the plurality of representations of the physical objects, wherein the selected computer-implemented object and the plurality of representations of the physical objects are spatially arranged in accordance with an optimization algorithm.   
     
     
         7 . The method of  claim 1 , further comprising:
 delivering automatically an explanation for the delivering of the recommended media instance to the user, wherein the explanation is in a natural language format and comprises reasoning for the delivery of the recommended media instance to the user.   
     
     
         8 . A computer-implemented system comprising one or more processors configured to:
 infer automatically a user preference from a plurality of user behaviors;   access automatically a digital map comprising a plurality of representations of physical objects and their associated physical locations;   select automatically a computer-implemented object that represents a physical object based, at least in part, upon the inference of the user preference;   generate automatically a recommended media instance comprising a spatially arranged representation of the selected computer-implemented object and the plurality of representations of the physical objects; and   deliver automatically the media instance to a user.   
     
     
         9 . The system of  claim 8  comprising the one or more processors, further configured to:
 infer automatically the user preference from the plurality of user behaviors, wherein the user behaviors are associated with a plurality of users. 
 
     
     
         10 . The system of  claim 8  comprising the one or more processors, further configured to:
 infer automatically the user preference from the plurality of user behaviors, wherein the inference of the preference is based upon the application of a plurality of inference weightings that are determined in accordance with usage behavior priority rules that are applied to the plurality of user behaviors. 
 
     
     
         11 . The system of  claim 8  comprising the one or more processors, further configured to:
 infer automatically the user preference from the plurality of user behaviors, wherein the preference is inferred based upon an automatic analysis of pictorial-based information, wherein the automatic analysis is performed through application of a computer-implemented neural network. 
 
     
     
         12 . The system of  claim 8  comprising the one or more processors, further configured to:
 access automatically the digital map comprising the plurality of representations of the physical objects, wherein the physical objects are interpreted from pictorial-based information by application of a computer-implemented neural network. 
 
     
     
         13 . The system of  claim 8  comprising the one or more processors, further configured to:
 generate automatically the recommended media instance comprising the selected computer-implemented object and the plurality of representations of the physical objects, wherein the selected computer-implemented object and the plurality of representations of the physical objects are spatially arranged in accordance with an optimization algorithm. 
 
     
     
         14 . The system of  claim 8  comprising the one or more processors, further configured to:
 deliver automatically an explanation for the delivering of the recommended media instance to the user, wherein the explanation is in a natural language format and comprises reasoning for the delivery of the recommended media instance to the user, wherein the reasoning comprises the inference of the user preference. 
 
     
     
         15 . A mobile device comprising one or more processors configured to:
 access automatically a user preference that is automatically inferred from a plurality of user behaviors;   access automatically a digital map comprising a plurality of representations of physical objects and their associated physical locations;   select automatically a computer-implemented object that represents a physical object based, at least in part, upon the inference of the user preference;   generate automatically a recommended media instance comprising a spatially arranged representation of the selected computer-implemented object and the plurality of representations of the physical objects; and   deliver automatically the media instance to a user of the mobile device.   
     
     
         16 . The mobile device of  claim 15  comprising the one or more processors, further configured to:
 access automatically the user preference that is automatically inferred from the plurality of user behaviors, wherein the inference of the preference is based upon the application of a plurality of inference weightings that are determined in accordance with usage behavior priority rules that are applied to the plurality of user behaviors. 
 
     
     
         17 . The mobile device of  claim 15  comprising the one or more processors, further configured to:
 access automatically the user preference that is automatically inferred from the plurality of user behaviors, wherein the preference is inferred based upon an automatic analysis of pictorial-based information, wherein the automatic analysis is performed through application of a computer-implemented neural network. 
 
     
     
         18 . The mobile device of  claim 15  comprising the one or more processors, further configured to:
 access automatically the digital map comprising the plurality of representations of the physical objects, wherein the physical objects are interpreted from pictorial-based information by application of a computer-implemented neural network. 
 
     
     
         19 . The mobile device of  claim 15  comprising the one or more processors, further configured to:
 generate automatically the recommended media instance comprising the selected computer-implemented object and the plurality of representations of the physical objects, wherein the selected computer-implemented object and the plurality of representations of the physical objects are spatially arranged in accordance with an optimization algorithm. 
 
     
     
         20 . The mobile device of  claim 15  comprising the one or more processors, further configured to:
 deliver automatically an explanation for the delivering of the recommended media instance to the user, wherein the explanation is in a natural language format and comprises reasoning for the delivery of the recommended media instance to the user.