Dataset of Natural Language Queries for E-Commerce

• DOI: 10.1145/3406522.3446043
• Publication Date: 2021-02-27T17:18:47Z
• Authors: Andrea Papenmeier; Dagmar Kern; Daniel Hienert; Alfred Sliwa; Ahmet Aker; Norbert Fuhr
• Keywords: Laptop; Seekers; Natural language understanding

Shopping online is more and frequent in our everyday life. For e-commerce search systems, understanding natural language coming through voice assistants, chatbots or from conversational an essential ability to understand what the user really wants. However, evaluation datasets with detailed information needs of product-seekers which could be used for research do not exist. Due privacy issues competitive consequences, only few real queries logs are openly available. In this paper, we present a dataset 3,540 two domains that describe users want when searching laptop jacket their choice. The contains annotations vague terms key facts 1,754 queries. This opens up range opportunities fields processing (interactive) retrieval product search.