Diversifying Music Recommendations

Diversifying Music Recommendations

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...

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Hauptverfasser: Nassif, Houssam, Cansizlar, Kemal Oral, Goodman, Mitchell, Vishwanathan, SVN
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Information Retrieval
Computer Science - Multimedia
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Zusammenfassung: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.
DOI:10.48550/arxiv.1810.01482