Explainable Recommendation: A Survey and New Perspectives

Introduction
	Explainable Recommendation
	A Historical Overview
	Classification of the Methods
	Explainability and Effectiveness
	Explainability and Interpretability
	How to Read the Survey
Information Source for Explanations
	Relevant User or Item Explanation
	Feature-based Explanation
	Opinion-based Explanation
	Sentence Explanation
	Visual Explanation
	Social Explanation
	Summary
Explainable Recommendation Models
	Overview of Machine Learning for Recommendation
	Factorization Models for Explainable Recommendation
	Topic Modeling for Explainable Recommendation
	Graph-based Models for Explainable Recommendation
	Deep Learning for Explainable Recommendation
	Knowledge Graph-based Explainable Recommendation
	Rule Mining for Explainable Recommendation
	Model Agnostic and Post Hoc Explainable Recommendation
	Summary
Evaluation of Explainable Recommendation
	User Study
	Online Evaluation
	Offline Evaluation
	Qualitative Evaluation by Case Study
	Summary
Explainable Recommendation in Different Applications
	Explainable E-commerce Recommendation
	Explainable Point-of-Interest Recommendation
	Explainable Social Recommendation
	Explainable Multimedia Recommendation
	Other Explainable Recommendation Applications
	Summary
Open Directions and New Perspectives
	Methods and New Applications
	Evaluation and User Behavior Analysis
	Explanation for Broader Impacts
	Cognitive Science Foundations
Conclusions
Acknowledgements
References