公开(公告)号：US20210182351A1

公开(公告)日：2021-06-17

申请号：US16712278

申请日：2019-12-12

Applicant: Oath Inc.

Inventor： Rao Shen ,  Kostas Tsioutsiouliklis ,  Donghyun Kim ,  Yufeng Ma ,  Yu Wang

IPC: G06F16/9535 ,  G06F16/958 ,  G06N5/04 ,  G06N20/00

Abstract: The present teaching relates to personalized content recommendation. A webpage is contrasted for a user having a plurality of slots each of which is to be allocated with a content item. For each of the plurality of slots, a plurality of content items in a plurality of types of content are accessed. For each of the plurality of types of content, a personalized score is predicted for each content item in the type of content, wherein the personalized score is obtained based on a trained model trained. A recommended content item of the type of content is selected based on personalized scores. An overall recommended content item is selected and allocated to a slot based on criteria associated with the personalized scores of the recommended content items and a business rule. The webpage with the plurality of slots allocated with content items is provided to the user.