公开(公告)号：US20170032270A1

公开(公告)日：2017-02-02

申请号：US15118096

申请日：2014-05-29

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY INDUSTRY COOPERATION

Inventor： Soo-Won LEE ,  Jong-Bum BAIK

IPC: G06N7/00 ,  H04L29/08 ,  G06F19/00 ,  G06N5/02

CPC classification number: G06N7/005 ,  G06N5/02 ,  G06N20/00 ,  G16H50/30 ,  H04L67/22 ,  H04L67/306

Abstract: A method of predicting personality traits using a personal life log and an apparatus for performing the same are disclosed. The method of predicting personality traits comprises collecting personal life log in a social network, generating a user behavior matrix by defining an object about user's behavior through analysis of the collected personal life log in a triple structure and extracting a user behavior parameter through the generated user behavior matrix, obtaining interaction between a user and a friend by analyzing the personal life log and obtaining a friend relation characteristic parameter by using the obtained interaction, obtaining a moving path characteristic parameter by using location information made in a feed by the user through analysis of the personal life log, and predicting personality traits by applying the user behavior parameter, the friend relation characteristic parameter and the moving path characteristic parameter to four learned personality traits models.

Abstract translation: 公开了使用个人生活日志预测人格特征的方法和用于执行其的装置。 预测人格特征的方法包括收集社交网络中的个人生活日志，通过在三重结构中分析所收集的个人生活日志来定义关于用户行为的对象来生成用户行为矩阵，并通过生成的用户提取用户行为参数 行为矩阵，通过使用所获得的交互来分析个人生活日志和获得朋友关系特征参数来获得用户和朋友之间的交互，通过使用用户通过分析进行的用户的馈送中的位置信息来获取移动路径特征参数 个人生活日志，并通过将用户行为参数，朋友关系特征参数和移动路径特征参数应用于四个学习人格特质模型来预测人格特征。