Diversifying Music Recommendations
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Abstract (arXiv)
We compare submodular and Jaccard methods to diversify Amazon Music recommendations. Submodularity significantly improves recommendation quality and user engagement. Unlike the Jaccard method, our submodular approach incorporates item relevance score within its optimization function, and produces a relevant and uniformly diverse set.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Oct 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 1.
2 papers.
- 2021Beyond NDCG: behavioral testing of recommender systems with RecListcited by 8
- 2025Online Two-Stage Submodular Maximizationcited by 0
- 2025Online Two-Stage Submodular Maximization22 Oct 2025
- 2021Beyond NDCG: behavioral testing of recommender systems with RecList18 Nov 2021