Inferential-based Physical Object Arrangement Method and System
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.
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.