MACHINE LEARNING IN MESSAGE DISTRIBUTION - ALIBABA GROUP HOLDING LTD

Title:

MACHINE LEARNING IN MESSAGE DISTRIBUTION

Document Type and Number:

WIPO Patent Application WO/2018/103039

Kind Code:

A1

Abstract:

The techniques described herein provide a method and system for machine learning an on-line message distribution platform. Historical data and contextual data are used to determine a relevancy score between a user and a message. A message is delivered to users with relevancy scores higher than a threshold for the message. Actual delivery of the messages will be monitored which enables the platform to adjust the relevancy score thresholds.

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Inventors:

WANG SHIJUN (US)
ZHU SHENGHUO (US)
LIN FANGQUAN (CN)
SUN MOU (CN)
YAN LING (CN)
XU HUA (US)
YANG CHENG (CN)
LI TAO (CN)
JIN RONG (US)

Application Number:

PCT/CN2016/109009

Publication Date:

June 14, 2018

Filing Date:

December 08, 2016

Export Citation:

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Assignee:

ALIBABA GROUP HOLDING LTD (CN)

International Classes:

G06Q30/00

Foreign References:

CN102999849A	2013-03-27
CN101702653A	2010-05-05
CN101071496A	2007-11-14
CN102799623A	2012-11-28

Attorney, Agent or Firm:

BEIJING TSINGHUAYUAN LAW FIRM (CN)

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