US 2017/0287044 A1 · Methods and Apparatus for Enhanced Product Recommendations

Abstract

Apparatus and methods are given for providing enhanced product recommendations. In one embodiment, products are recommended to a consumer based on information manually entered by the consumer and/or derived from data relating to the consumer obtained from a health-monitoring platform. The recommended products are provided from a recommendation engine to a human operator or curator at an item selection entity, the curator selects a predetermined number of the recommended products for delivery to the consumer. Such delivery is established by the consumer to occur periodically (such as monthly) as part of a subscription service. Product recommendations are adjusted over time to relate to customer activity and interest data accumulated from the health-monitoring platform. In one embodiment, a recommendation engine is configured to specifically tailor its recommendation algorithms based on feedback information received from the curator and/or the consumer.

Claims20

Dependent claims

A method of enabling product recommendations, said method comprising:

receiving a plurality of product records and a plurality of user profiles, each of said plurality of product records and each of said plurality of user profiles comprising one or more aspects;
applying a comparison algorithm to said one or more aspects of an individual one of said user profiles and said one or more aspects of each of said plurality of product records to identify a subset thereof which exhibit a threshold level of similarity;
providing said identified subset of said plurality of product records to a selection entity, said selection entity configured to select first products from said identified subset for delivery to a consumer;
utilizing information received from said selection entity which identifies second ones of said identified subset which were not selected to adjust one or more first factors of said comparison algorithm;
and
utilizing information received from a product warehouse which identifies one or more of said first products which were delivered to said customer and subsequently returned to adjust one or more second factors of said comparison algorithm.

3 more elements

A method of enabling product recommendations, said method comprising:

generating a plurality product records representative of a respective plurality of products for purchase, each of said product records comprising a number of descriptive aspects;
obtaining consumer profile data relating to an individual consumer;
converting said consumer profile data into a consumer profile record comprising a number of descriptive aspects;
utilizing one or more of said descriptive aspects of said consumer profile to filter out a subset of said plurality of product records;
identifying, via a comparison of said consumer profile record against each of a subset of said plurality of product profile records which were not filtered out, one or more products which meet a threshold level of similarity to said consumer profile data;
providing a list of said identified one or more products to a human operator;
enabling said human operator to select from said list individual ones of said identified one or more products;
generating a delivery order of said selected individual ones of said identified one or more products for delivery to said consumer;
and
adjusting at least one factor of said comparison based on said human operator selections.

7 more elements

An apparatus configured to provide product recommendations, said apparatus comprising:

at least one network interface configured to receive a plurality of product records and a user profile;
a storage apparatus;
and
a processor configured to execute at least one computer program, said computer program comprising a plurality of instructions which are configured to, when executed by said processor, cause said apparatus to:
apply a comparison algorithm to one or more aspects of said user profile and one or more aspects of each of said plurality of product records to identify a subset thereof which exhibit a threshold level of similarity to said user profile;
provide said subset of said plurality of product records as a selectable list to a human operator via said interface, selection of individual ones of said selectable list by said human operator causing:
generation of feedback information regarding whether each of said subset was selected or not selected by said human operator;
and
generation of a delivery order for delivery of products associated with said selected individual ones of said selectable list to a user associated to said user profile;
and
utilize said feedback information to adjust one or more factors of said comparison algorithm.

8 more elements

Dependencies are inferred from the claim text.

Methods and Apparatus for Enhanced Product Recommendations

Life of this patent

Methods and Apparatus for Enhanced Product Recommendations

Life of this patent

Abstract

Claims20