Fair Representation Learning in Knowledge-aware Recommendation

Knowledge-aware recommendation system has at-tracted considerable interest in academia and industry, which comes in handy to solve the cold-start problem and offer a reliable solution for the business to grow. It's particularly important to consider fairness issues when designing and using those systems. However, we find that though not explicitly introduced to a knowledge graph (KG), sensitive in...