Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph

arXiv:2310.16452v3 Announce Type: replace-cross
Abstract: The integration of path reasoning with language modeling in recommender systems has shown promise for enhancing explainability but often struggles with the authenticity of the explanations provided. Traditional models modify their architecture to produce entities and relations alternately--for example, employing separate heads for each in the model--which does not ensure the authenticity of paths reflective of actual Knowledge Graph (KG) connections. This misalignment can lead to user distrust due to the generation of corrupted paths. …

abstract architecture arxiv authenticity cs.ai cs.ir cs.lg example explainability graph integration knowledge knowledge graph language modeling path reasoning recommendation recommender systems relations systems type