AliCoCo: Alibaba E-commerce Cognitive Concept Net
Table 6. Experimental results in semantic matching between e-commerce concepts and items.
['Model', 'AUC', 'F1', 'P@10']
Our knowledge-aware deep semantic matching model outperforms all the baselines in terms of AUC, F1 and Precision at 10, showing the benefits brought by external knowledge. To further investigate how knowledge helps, we dig into cases. Using our base model without knowledge injected, the matching score of concept “中秋节礼物 (Gifts for Mid-Autumn Festival)” and item “老式大月饼共800g云南特产荞三香大荞饼荞酥散装多口味 (Old big moon cakes 800g Yunnan…)” is not confident enough to associate those two, since the texts of two sides are not similar. After we introduce external knowledge for “中秋节 (Mid-Autumn Festival)” such as “中秋节自古便有赏月、吃月饼、赏桂花、饮桂花酒等习俗。(It is a tradition for people to eat moon cakes in Mid-Autumn…)”, the attention score for “中秋节 (Mid-Autumn Festival)” and “月饼 (moon cakes) ” increase to bridge the gap of this concept-item pair.