US 12,229,815 B2
Method, device, and computer program product for user behavior prediction
Jiacheng Ni, Shanghai (CN); Jinpeng Liu, Shanghai (CN); and Danqing Sha, Shanghai (CN)
Assigned to EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed by EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed on Aug. 16, 2021, as Appl. No. 17/403,067.
Claims priority of application No. 202110836899.0 (CN), filed on Jul. 23, 2021.
Prior Publication US 2023/0041339 A1, Feb. 9, 2023
Int. Cl. G06Q 30/00 (2023.01); G06N 3/04 (2023.01); G06N 3/082 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0601 (2023.01)
CPC G06Q 30/0631 (2013.01) [G06N 3/04 (2013.01); G06N 3/082 (2013.01); G06Q 30/0202 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method implemented at a client, comprising:
generating, by a first user behavior embedding engine in the client, behavior prediction information of a target user based on feature information of the target user, wherein the first user behavior embedding engine is implemented by a neural network, and wherein the neural network is compressed at the client;
mapping the feature information of the target user to the behavior prediction information of the target user;
sending the behavior prediction information of the target user to a server, the server comprising at least a second neural network; and
receiving information about a target item recommended for the target user from the server.