Personal taste assessment method and system
AssigneeWine Ring, Inc.
InventorsStephen Dillon, Pamela Dillon, Andrew Sussman
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Abstract
A personal taste assessment and prediction system implements a method of predicting a person's preference for an item. The system may receive identifying information about an item of interest, and it may use the identifying information to access a database of characteristic values for various items and identify one or more characteristics of the item of interest. The system will access a user profile and process the retrieved characteristics with a user profile for a person to generate a predicted rating for the item of interest for the person.
Claims20
A method for predicting a person's preference for an item, comprising, by one or more processors:
- receiving, via an electronic device, identifying information about an item of interest;
- accessing a user profile for a person;
- accessing a database of characteristic values for a plurality of candidate items;
- using the identifying information to identify a candidate item that corresponds to the item of interest and retrieve one or more characteristics of the identified candidate item;
- processing the retrieved characteristics with the user profile to generate a predicted rating for the item of interest for the person;
- and
- causing the electronic device to output the predicted rating to the person.
A system for predicting a person's preference for an item, comprising:
- one or more processors:
- a database of characteristic values for a plurality of candidate items;
- a computer-readable memory storing a user profile for a person;
- and
- a computer-readable memory containing programming instructions that, when executed, cause one or more of the processors to:
- receive identifying information about an item of interest;
- access the database and use the identifying information to identify a candidate item that corresponds to the item of interest and retrieve one or more characteristics of the identified candidate item;
- process the retrieved characteristics with the user profile to generate a predicted rating for the item of interest for the person;
- and
- output the predicted rating.
Dependencies are inferred from the claim text.