2020
Synthesizing Aspect-Driven Recommendation Explanations from Reviews
IJCAI 2020poster
Explanations help users make sense of recommendations, increasing the likelihood of adoption. Existing approaches to explainable recommendations tend to rely on rigidly standardized templates, only allowing fill-in-the-blank aspect-level sentiments. For more flexible, literate, and varied explanatio…