IDENTIFYING RESONATED CONNECTIONS USING MACHINE LEARNING

• Main Authors: THOMAS AJITA, SHOYKHET ALEXANDER, LIU YAN, XI YING, WANG BING
• Format: Patent
• Language: Chinese; English
• Published: 01.02.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The technical problem of identifying relevant social proof information with respect to a premium service for a given member profile in an online connection network system is addressed by, first, capturing the associated member's intent based on the member's activity on the web site provided by the online connection network system. The determined intent is used as input into a relevance machine learning model that is executed to identify the member's connection who is a subscriber to the premium service and who has been identified as the most convincing resonated connection of the member with respect to subscribing to the premium service. 识别关于针对在线连接网络系统中给定成员简档的高级服务方面的社会认同信息的技术问题通过以下方式解决：首先，基于在由在线连接网络系统提供的网站上的成员活动来捕获相关联成员的意图。所确定的意图被用作相关性机器学习模型的输入，该相关性机器学习模型被执行以识别以下成员的连接：该成员是高级服务的订阅者并且已被识别为成员关于订阅高级服务方面最有说服力的共鸣连接。