In-vehicle Recommender System

该数据集是通过亚马逊土耳其机器人进行的问卷调查收集的，主要研究了在不同驾驶场景下，驾驶员对优惠券的接受程度。数据集涵盖了以乘客、天气、目的地、时间和当前位置等不同场景为特征的情况。任务是基于驾驶员对优惠券的接受情况，识别出在接受治疗效果上有显著提升的子群体。This dataset was collected via questionnaire surveys administered on Amazon Mechanical Turk, and primarily examines drivers' coupon acceptance across various driving scenarios. The dataset covers scenarios characterized by multiple contextual factors including passengers, weather, destination, travel time, and current location. The core task of this dataset is to identify subgroups with significantly enhanced treatment effects based on drivers' coupon acceptance behaviors.