Inferring Complementary and Substitutable Products Based on Knowledge Graph Reasoning
Yan Fang,
Jiayin Yu,
Yumei Ding
et al.
Abstract:Complementarity and substitutability between products are essential concepts in retail and marketing. To achieve this, existing approaches take advantage of knowledge graphs to learn more evidence for inference. However, they often omit the knowledge that lies in the unstructured data. In this research, we concentrate on inferring complementary and substitutable products in e-commerce from mass structured and unstructured data. An improved knowledge-graph-based reasoning model has been proposed which cannot on… Show more
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