Invention Grant
US09390379B2 Methods, systems, and apparatus for learning a model for predicting characteristics of a user
有权
用于学习用于预测用户特征的模型的方法，系统和装置
- Patent Title: Methods, systems, and apparatus for learning a model for predicting characteristics of a user
- Patent Title (中): 用于学习用于预测用户特征的模型的方法，系统和装置
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Application No.: US13948976Application Date: 2013-07-23
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Publication No.: US09390379B2Publication Date: 2016-07-12
- Inventor: Armand Erik Prieditis
- Applicant: Neustar IP Intelligence, Inc.
- Applicant Address: US VA Sterling
- Assignee: Neustar IP Intelligence, Inc.
- Current Assignee: Neustar IP Intelligence, Inc.
- Current Assignee Address: US VA Sterling
- Agency: Mahamedi IP Law LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N99/00
Abstract:
Methods, systems, and apparatus for generating a model for predicting the characteristics of a user are described. A model template for predicting the one or more characteristics of the selected user is obtained. Training data comprising social relationship information and one or more user characteristics for each of one or more source users is obtained. One or more parameters of the model are determined based on the training data.
Public/Granted literature
- US20150032672A1 METHODS, SYSTEMS, AND APPARATUS FOR LEARNING A MODEL FOR PREDICTING CHARACTERISTICS OF A USER Public/Granted day:2015-01-29
Information query
