Yu L He

US Patent:

8484203, Jul 9, 2013

Filed:

Jan 4, 2012

Appl. No.:

13/343172

Inventors:

Daniel J. Clancy - Los Altos CA, US
Cristos J. Goodrow - Mountain View CA, US
Yu He - Sunnyvale CA, US
Kun Zhang - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707723, 705 267

Abstract:

Recommendations for a media item associated with a primary entity are based on co-interaction information gathered from other media content items of several different media types that are also associated with the primary entity. Co-interaction information can include, for example, co-click data for websites, co-watch data for videos, or co-purchase data for purchases. The co-interaction data is processed to determine a co-interaction score between primary media items and secondary media items. From the co-interaction scores, secondary entities associated with the secondary media items are determined. A relatedness score is determined for these secondary entities based on the aggregation of the co-interaction scores of the secondary media items they are associated with. The relatedness score indicates a determination of how related one entity is to another. The secondary entities are ranked according to relatedness score in order to determine secondary entities most relevant to the primary entity.

US Patent:

20170013297, Jan 12, 2017

Filed:

Sep 26, 2016

Appl. No.:

15/276605

Inventors:

- Mountain View CA, US
Kun Zhang - Mountain View CA, US
Yu He - Sunnyvale CA, US
Xinmei Cai - Tokyo, JP

International Classification:

H04N 21/2668
G06N 5/04
H04N 21/482
G06F 17/30
H04N 21/262
H04N 21/442

Abstract:

A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

US Patent:

20150012926, Jan 8, 2015

Filed:

Sep 18, 2014

Appl. No.:

14/490542

Inventors:

- Mountain View CA, US
Kun Zhang - Mountain View CA, US
Yu He - Sunnyvale CA, US
Xinmei Cai - Tokyo, JP

International Classification:

H04N 21/2668
H04N 21/482
H04N 21/442
H04N 21/262

US Classification:

725 9

Abstract:

A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.