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.

公开(公告)号：US10698967B2

公开(公告)日：2020-06-30

申请号：US15831189

申请日：2017-12-04

Applicant: Oath Inc.

Inventor： Rao Shen ,  Akshay Soni ,  Troy Chevalier ,  Xue Wu ,  Pierce Yang

IPC: G06F16/9537 ,  G06Q50/00 ,  G06F16/93 ,  G06F16/335

Abstract: A method is provided, including: detecting interactions by a plurality of users with a plurality of content items, each content item having an associated content item vector; for a given user, identifying interactions occurring during a current time period, including identifying positive interactions with a first set of the content items, and negative interactions with a second set of the content items; processing a first set of the content item vectors that are associated with the first set of the content items to determine a positive interaction vector; processing a second set of the content item vectors that are associated to the second set of the content items to determine a negative interaction vector; for the given user, generating a current user profile vector for the current time period, using the positive interaction vector, the negative interaction vector, and a prior user profile vector for a prior time period.