Stability of Explainable Recommendation

arXiv:2405.01849v1 Announce Type: cross
Abstract: Explainable Recommendation has been gaining attention over the last few years in industry and academia. Explanations provided along with recommendations in a recommender system framework have many uses: particularly reasoning why a suggestion is provided and how well an item aligns with a user's personalized preferences. Hence, explanations can play a huge role in influencing users to purchase products. However, the reliability of the explanations under varying scenarios has not been strictly verified from an …

abstract academia arxiv attention cs.ir cs.lg framework industry personalized reasoning recommendation recommendations stability type