Human Behavior Challenge Winning Solution

Saket Kunwar
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Abstract

This paper describes the winning method and results of the Human Behaviour Challenge 201811https://competitions.codalab.org/competitions/17401. GPS trajectories from smartphones and associated metadata of people involved in a game of finding hidden objects were collected at Nagoya Institute of Technology, Japan. The competition, hosted at codalab.org, challenged the participants to find a solution that could predict the future destination and past starting point from the given data. Knowing the future and past track data of users could enable the organizers to provide personalized and localized services. The source code22https://github.com/saketkunwar/hbc2018 under open source license has been released at github.
人类行为挑战获胜解决方案
本文描述了人类行为挑战赛201811https://competitions.codalab.org/competitions/17401的获胜方法和结果。日本名古屋工业大学收集了参与寻找隐藏物品游戏的人的智能手机GPS轨迹和相关元数据。这项竞赛由codalab.org主办,参赛者需要找到一种解决方案,可以根据给定的数据预测未来的目的地和过去的起点。了解用户未来和过去的轨迹数据,可以为组织者提供个性化和本地化的服务。开源许可下的源代码22https://github.com/saketkunwar/hbc2018已经在github上发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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