US 11,995,572 B2
Content recommendation based upon continuity and grouping information of attributes
Alexander Shtof, Haifa (IL); Yair Koren, Haifa (IL); and Yohay Kaplan, Tel-Aviv (IL)
Assigned to Yahoo Assets LLC, New York, NY (US)
Filed by Yahoo Assets LLC, Dulles, VA (US)
Filed on Jan. 16, 2023, as Appl. No. 18/097,424.
Application 18/097,424 is a continuation of application No. 16/800,504, filed on Feb. 25, 2020, granted, now 11,556,814.
Prior Publication US 2023/0214686 A1, Jul. 6, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/23 (2019.01); G06F 16/2457 (2019.01); G06N 5/02 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01)
CPC G06N 5/04 (2013.01) [G06F 16/23 (2019.01); G06F 16/24578 (2019.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
executing, on a processor of a computing device, instructions that cause the computing device to perform operations, the operations comprising:
modifying a data structure by inserting a plurality of sub-fields for a user attribute, wherein a sub-field is populated with a value representing an option of the user attribute and the plurality of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute;
processing the data structure using machine learning functionality to generate a model; and
utilizing the model to generate a prediction as to whether a user will interact with a content item.