US 11,657,417 B2
Methods and apparatus to identify affinity between segment attributes and product characteristics
Leonid Ayzenshtat, Jacksonville, FL (US); Kalyanraman Rajamani, Tampa, FL (US); Alexey Vishnevskiy, New York, NY (US); Nikolay Georgiev, San Jose, CA (US); and Mara Preotescu, New York, NY (US)
Assigned to NIELSEN CONSUMER LLC, Chicago, IL (US)
Filed by Nielsen Consumer LLC, New York, NY (US)
Filed on Jan. 27, 2021, as Appl. No. 17/160,001.
Application 17/160,001 is a continuation of application No. 16/180,812, filed on Nov. 5, 2018, granted, now 10,909,560.
Application 16/180,812 is a continuation of application No. 14/821,363, filed on Aug. 7, 2015, granted, now 10,147,108, issued on Dec. 4, 2018.
Claims priority of provisional application 62/142,427, filed on Apr. 2, 2015.
Prior Publication US 2021/0150552 A1, May 20, 2021
Int. Cl. G06Q 30/0204 (2023.01)
CPC G06Q 30/0204 (2013.01) 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
a product characteristic database storing product identifications (IDs) for a plurality of products and one or more product characteristics associated with respective ones of the product IDs;
a transaction database storing past transactions and one or more of the product characteristics associated with one or more products in respective ones of the past transactions;
a product affinity generator to:
in response to receipt of a first transaction that includes a first product and a second product, access the product characteristic database to identify a first product characteristic corresponding to the first product and a second product characteristic corresponding to the second product, the first transaction received via a network from a first transaction processor;
access the transaction database and perform a comparison of an occurrence of the first product characteristic and the second product characteristic in the same transaction to a frequency support threshold;
define a level of association between the first product characteristic and the second product characteristic based on the comparison; and
generate an affinity rule based on the level of association between the first product characteristic and the second product characteristic; and
a product recommender to:
in response to receipt of a second transaction that includes a third product, access the product characteristic database and identify a third product characteristic corresponding to the third product, the second transaction received via the network from a second transaction processor during a point-of-sale activity;
generate a recommendation for a fourth product in connection with the second transaction based on the affinity rule and the third product characteristic; and
cause an advertisement including the fourth product to be transmitted to the second transaction processor for presentation during the point-of-sale activity.