US 2014/0229498 A1Published application

Recommendation system based on group profiles of personal taste

AssigneeWine Ring, Inc.

InventorsStephen Dillon, Pamela Dillon, Andrew Sussman

Life of this patent

Estimating the term…

Loading patent…

Abstract

This document describes a method and system for recommending items, such as beverages, that members of a group are likely to find appealing. When group members are identified, the system may identify one or more preference models for each member. Each preference model represents a pattern of dependency between characteristics of items that the member has rated and the member's ratings for those items. The system may develop a group preference profile by merging the patterns of dependency for each of the members into a group preference model. Then, when it receives a request for a recommendation for an item, the system uses the group preference profile to select, from a database, a candidate item having characteristics which are likely to appeal to many or all members of the group.

Claims24

Dependent claims

A group recommendation system, comprising:

a non-transitory computer-readable medium holding a database comprising characteristics for a plurality of candidate items;
a processor;
and
a non-transitory computer-readable medium holding programming instructions that, when executed, are configured instruct the processor to:
identify a preference profile for each user in a group of users, wherein the preference profile for each user comprises:
data that represents a pattern of dependency between the user's ratings for a plurality of items that the user has rated and characteristics of at least a portion of the rated items to which the user's ratings apply;
merge a plurality of the users' data that represents the patterns of dependency between ratings and characteristics for the plurality of users into a group preference profile;
receive a request for a group recommendation;
select, from the database based on the group preference profile, a candidate item having characteristics that at least a plurality of users in group are expected to find appealing;
and
generate a recommendation for the selected candidate item.

8 more elements

A method, comprising:

receiving, via a user interface, a selection of a group having a plurality of members;
by a processor, identifying a preference profile for each member, wherein the preference profile for each member comprises:
data that represents a pattern of dependency between the member's ratings for a plurality of items that the profile's member has rated and characteristics of at least a portion of the rated items to which the member's ratings apply;
by the processor, developing a group preference profile by merging the data that represents the patterns of dependency between ratings and characteristics for each of the members;
receiving, via the user interface, a request for a recommendation for an item;
by the processor, accessing a database of candidate items, wherein each candidate item is associated with at least one characteristic;
by the processor, using the group preference profile to select, from the database, a candidate item having characteristics which are likely to appeal to at least a plurality of members of the group;
and
by the processor, generating a recommendation for the selected candidate item.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 13/935,169Filed 3 Jul 2013
Priority: 14 Feb 2013
Published: 14 Aug 2014
Term ends: Not estimatedThe source records don’t support an estimate.

Classification12 codes

G06Q 30/0631
Electronic shopping [e-shopping]: recommending goods or services
G06F 16/2457
Query processing: with adaptation to user needs
G06F 16/3322
Query formulation: using system suggestions
G06F 16/337
Filtering based on additional data, e.g. user or group profiles: profile generation, learning or modification