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

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...

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Bibliographic Details
Main Authors Fu, Zuohui, Xian, Yikun, Zhu, Yaxin, Zhang, Yongfeng, de Melo, Gerard
Format Journal Article
LanguageEnglish
Published 20.08.2020
Subjects
Computer Science - Artificial Intelligence
Computer Science - Computation and Language
Computer Science - Information Retrieval
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Summary: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.
DOI:10.48550/arxiv.2008.09237