Research Area:  Machine Learning

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.

Keywords:  
Conversational Recommendation
E-commerce
Dataset
Knowledge Graphs

Author(s) Name:  Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo

Publisher name:  arXiv:2008.09237

DOI:  10.48550/arXiv.2008.09237

Volume Information:  

Paper Link:   https://arxiv.org/abs/2008.09237