Context-Conditional Recommendation Receipt System
A computer-implemented context-conditional recommendation receipt method, system, and device conditionally enable receipt of recommendations that are based on inferred preferences, given a sufficient contextual basis. The contextual basis may include factors such as location, supplier contextual information, and/or product attributes. The recommendations may be generated by another processor-based device, and may comprise one or more products and a corresponding price. Information as to why the recommendation was delivered to a recommendation recipient may be provided to the recommendation recipient.
1 . A method, comprising:
using a portable processor-based device, wherein the device comprises a contextual basis-determining function that enables receipt of a recommendation conditional on determining a sufficient contextual basis; and
receiving the recommendation while using the portable processor-based device, wherein the recommendation is generated based, at least in part, on an inference of a preference from a plurality of usage behaviors.
2 . The method of claim 1 , further comprising:
using the portable processor-based device, wherein the device comprises the contextual basis-determining function that enables receipt of the recommendation, wherein the recommendation is generated by a second processor-based device.
3 . The method of claim 1 , further comprising:
using the portable processor-based device, wherein the device comprises the contextual basis-determining function that enables receipt of the recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises an automatically determined location.
4 . The method of claim 1 , further comprising:
using the portable processor-based device, wherein the device comprises the contextual basis-determining function that enables receipt of the recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises supplier context information.
5 . The method of claim 1 , further comprising:
using the portable processor-based device, wherein the device comprises the contextual basis-determining function that enables receipt of the recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises at least one product attribute.
6 . The method of claim 1 , further comprising:
using the portable processor-based device, wherein the device comprises the contextual basis-determining function that enables receipt of the recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises an inference of a preference.
7 . The method of claim 1 , further comprising:
receiving the recommendation, wherein the recommendation is generated based, at least in part, on the inference from the plurality of usage behaviors, wherein one of the plurality of usage behaviors is a physiological response.
8 . The method of claim 1 , further comprising:
receiving the recommendation, wherein the recommendation comprises a product bundle, wherein the product bundle comprises a plurality of products.
9 . The method of claim 1 , further comprising:
receiving information comprising a reason as to why the recommendation was delivered to a recommendation recipient.
10 . A computer-implemented system, comprising:
a contextual basis-determining function executed on a processor-based device that enables receipt of a recommendation conditional on determining a sufficient contextual basis; and
a computer-implemented recommendation-receiving function that receives the recommendation, wherein the recommendation is generated based, at least in part, on an inference of a preference from a plurality of usage behaviors.
11 . The system of claim 10 , further comprising:
the contextual basis-determining function, wherein the contextual basis-determining function enables receipt of a recommendation from another processor-based device.
12 . The system of claim 10 , further comprising:
the contextual basis-determining function that enables receipt of a recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises an automatically determined location.
13 . The system of claim 10 , further comprising:
the contextual basis-determining function that enables receipt of a recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises supplier context information.
14 . The system of claim 10 , further comprising:
the contextual basis-determining function that enables receipt of a recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises at least one product attribute.
15 . The system of claim 10 , further comprising:
the contextual basis-determining function that enables receipt of a recommendation conditional on determining a sufficient contextual basis, wherein the contextual basis comprises an inference of a preference.
16 . The system of claim 10 , further comprising:
the recommendation-receiving function that receives the recommendation, wherein the recommendation is generated based, at least in part, on an inference from a plurality of usage behaviors, wherein at least one of the plurality of behaviors is a physiological response.
17 . The system of claim 10 , further comprising:
the recommendation-receiving function that receives the recommendation, wherein the recommendation comprises at least one product and a corresponding price.
18 . The system of claim 10 , further comprising:
an explanation-receiving function that receives information comprising a reason as to why the recommendation was delivered to a recipient of the recommendation.
19 . A portable processor-based device, comprising:
a global positioning system receiver;
a plurality of stored usage behaviors associated with the use of the portable processor-based device;
means to determine a location-based contextual basis for receiving a recommendation generated by a second processor-based device; and
means to receive the recommendation, wherein the recommendation is generated based, at least in part, on an inference of a preference from the plurality of usage behaviors.
20 . The device of claim 19 , further comprising
the plurality of stored usage behaviors, wherein at least one of the plurality of usage behaviors is a physiological response.