US 11,836,765 B2
Systems and methods for providing improved recommendations
Jacob Anderson, Plano, TX (US); Mithra Kosur Venuraju, Frisco, TX (US); Shilpa Mittal, Plano, TX (US); Ben Hoang, Garland, TX (US); Amit Deshpande, McKinney, TX (US); and Jie Shen, Plani, TX (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 23, 2021, as Appl. No. 17/408,917.
Application 17/408,917 is a continuation of application No. 16/678,233, filed on Nov. 8, 2019, granted, now 11,100,562.
Application 16/678,233 is a continuation of application No. 16/035,254, filed on Jul. 13, 2018, granted, now 10,475,105, issued on Nov. 12, 2019.
Prior Publication US 2021/0383454 A1, Dec. 9, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0601 (2023.01); G06Q 30/0283 (2023.01); G06F 16/84 (2019.01); G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G06F 18/22 (2023.01)
CPC G06Q 30/0278 (2013.01) [G06F 16/24578 (2019.01); G06F 16/84 (2019.01); G06F 16/9535 (2019.01); G06F 18/22 (2023.01); G06Q 30/0283 (2013.01); G06Q 30/0629 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/0643 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for displaying improved vehicle recommendations comprising:
providing, by a server system communicatively coupled to a user computing device on a user interface of the user computing device, a plurality of vehicle selections;
determining, on the user computing device, user vehicle preference data based on user interaction with the provided plurality of vehicle selections in a user session;
transmitting, the determined user vehicle preference data to the server system;
receiving, from the server system, varied vehicle recommendation data comprising a plurality of vehicles each having a different vehicle make and vehicle model combination, wherein the varied vehicle recommendation data is generated by generating a weighted feature data set having weights based on the determined user vehicle preference data, applying a similarity model, and applying a variability filter; and
displaying, on the user interface, a visual representation of the varied vehicle recommendation data.