Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects

IJCNLP 2019 Jianmo NiJiacheng LiJulian McAuley

Several recent works have considered the problem of generating reviews (or {`}tips{'}) as a form of explanation as to why a recommendation might match a customer{'}s interests. While promising, we demonstrate that existing approaches struggle (in terms of both quality and content) to generate justifications that are relevant to users{'} decision-making process... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.