Integrating Individual and Aggregate Diversity in Top-N Recommendation

DOI10.1287/ijoc.2019.0952OpenAlexW3038527252MaRDI QIDQ4995072

Ethem Çanakoğlu, Ịbrahim Muter, Tevfik Aytekin

Publication date: 23 June 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2019.0952

zbMATH Keywords

multiobjective optimizationgenetic algorithmrecommender systemsindividual diversityaggregate diversity

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Cites Work

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• A proof for the positive definiteness of the Jaccard index matrix
• Optimization-Based Approaches for Maximizing Aggregate Recommendation Diversity
• Decomposition Principle for Linear Programs
• Constructing robust crew schedules with bicriteria optimization
• Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches

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