论文标题

理解说话:在经销商中取代人类

Understanding Car-Speak: Replacing Humans in Dealerships

论文作者

Hooshmand, Habeeb, Caverlee, James

论文摘要

在美国,大部分购车经验涉及汽车经销店的互动。在经销商处,汽车购买者将他们的需求传达给销售代表。但是,大多数汽车购买者只对所需的车辆有抽象的描述。因此,他们只能在“说话”中描述自己的理想汽车。 CARPEAK是与汽车物理属性有关的抽象语言。在本文中,我们定义了说话。我们还旨在策划一个合理的数据集语言数据集。最后,我们培训几个分类器以对汽车进行分类。

A large portion of the car-buying experience in the United States involves interactions at a car dealership. At the dealership, the car-buyer relays their needs to a sales representative. However, most car-buyers are only have an abstract description of the vehicle they need. Therefore, they are only able to describe their ideal car in "car-speak". Car-speak is abstract language that pertains to a car's physical attributes. In this paper, we define car-speak. We also aim to curate a reasonable data set of car-speak language. Finally, we train several classifiers in order to classify car-speak.

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