1. Managing popularity bias in recommender systems with personalized re-ranking;Abdollahpouri,2019
2. Survey on the objectives of recommender system: Measures, Solutions, Evaluation Methodology, and New Perspectives;Alhijawi;ACM Computing Surveys (CSUR),2022
3. Clustering-based diversity improvement in top-N recommendation;Aytekin;Journal of Intelligent Information Systems,2014
4. Recommender systems survey;Bobadilla;Knowledge-Based Systems,2013
5. The balance between proximity and diversity in multiobjective evolutionary algorithms;Bosman,2003