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arXiv · 2008.09237

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

Zuohui Fu·Yikun Xian·Yaxin Zhu·Yongfeng Zhang·Gerard de Melo
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Abstract

In this work, we present a new dataset for conversational recommendation over knowledge graphs in e-commerce platforms called COOKIE. The dataset is constructed from an Amazon review corpus by integrating both user-agent dialogue and custom knowledge graphs for recommendation. Specifically, we first construct a unified knowledge graph and extract key entities between user--product pairs, which serve as the skeleton of a conversation. Then we simulate conversations mirroring the human coarse-to-fine process of choosing preferred items. The proposed baselines and experiments demonstrate that our dataset is able to provide innovative opportunities for conversational recommendation.

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Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo. 2020-08-21. COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce. https://arxiv.org/abs/2008.09237

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