US 12,346,949 B2
Online recommendations
Joshua Correa, Arlington, MA (US); and Alexander Kushkuley, Ashland, MA (US)
Assigned to Salesforce, Inc., San Francisco, CA (US)
Filed by salesforce.com, inc., San Francisco, CA (US)
Filed on Mar. 7, 2022, as Appl. No. 17/688,159.
Application 17/688,159 is a continuation of application No. 16/999,845, filed on Aug. 21, 2020, granted, now 11,276,104.
Prior Publication US 2022/0188900 A1, Jun. 16, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06N 7/01 (2023.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01)
CPC G06Q 30/0631 (2013.01) [G06N 7/01 (2023.01); G06Q 30/0282 (2013.01); G06Q 30/0633 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for revising a ranked list of recommendations, the method comprising:
identifying a plurality of recommended items related to an item;
generating a probability distribution for the recommended items of being selected by a user;
ranking the plurality of recommended items according to the probability distribution;
receiving an interaction with a first item of the plurality of recommended items; and
in response to the interaction, adjusting, by a processor, the probability of being selected in the probability distribution by:
increasing the probability of being selected for the first item of the plurality of recommended items based on a ranking parameter; and
decreasing the probability of being selected for at least a second item of the plurality of recommended items based on the ranking parameter.