GD-ML/SCASRec

该数据集用于生成路线列表推荐的自纠正和自动停止模型的研究。数据集包含三种主要特征：路由特征（用于描述每条路线，包括静态特征、动态特征和轨迹统计特征，形状为N * 62，关键特征包括路线的预计到达时间和总距离长度）、场景特征（表示路线推荐的上下文信息，形状为1 * 10，关键特征包括请求时间和用户对起点和终点的熟悉程度）以及长特征（按时间顺序排列的一系列路线选择记录，形状为T * 31，关键特征包括已选路线特征和未选路线特征）。

This dataset is for the research of a self-correcting and auto-stopping model for generative route list recommendation. The dataset includes three main types of features: Route Features (used to describe each route, including static features, dynamic features, and trajectory statistical features, with a shape of N * 62, key features include the estimated time of arrival for the route and the total distance length of the route), Scene Features (represent the contextual information of route recommendation, with a shape of 1 * 10, key features include request time and user familiarity with the origin and destination), and Long Features (a series of route selection records arranged in chronological order, with a shape of T * 31, key features include selected route features and unselected route features).