Multi-Objective Expertise Matching is a computational framework within expertise matching that simultaneously optimizes multiple, often competing, objective functions—such as relevance, diversity, and coverage—when aligning experts with tasks or queries, distinguishing it from single-objective approaches by its integrated consideration of pluralistic performance criteria.