Endomondo dataset

该数据集包含了来自956名用户的167,373条锻炼记录，其中包括连续数据（如心率、速度、已过时间、距离、海拔、纬度、经度）和上下文数据（如性别、运动类型、用户ID、网址）。为了专注于跑步、骑行和山地骑行活动，对数据进行了清洗，去除了异常测量值。最终，数据集被精简至大约65,500条锻炼记录。这是一个大规模的数据集，拥有167,373条记录，其任务是为个人提供个性化的健身推荐。This dataset contains 167,373 exercise records from 956 users, including continuous data (e.g., heart rate, speed, elapsed time, distance, elevation, latitude, and longitude) and contextual data (e.g., gender, exercise type, user ID, and URL). To focus on running, cycling, and mountain biking activities, the data was cleaned to remove anomalous measurements. Finally, the dataset was refined to approximately 65,500 exercise records. This is a large-scale dataset with 167,373 records, and its task is to provide personalized fitness recommendations for individuals.

搜集汇总

背景与挑战

背景概述

该数据集是'Privacy-Preserving Personalized Fitness Recommender System (P3FitRec)'项目的一部分，用于个性化健身推荐系统的多级深度学习研究，但HTML内容未提供数据集的详细描述，如数据来源、结构或具体内容。