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Diversifying Music Recommendations
October 02, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, SVN Vishwanathan
arXiv ID
1810.01482
Category
cs.MM: Multimedia
Cross-listed
cs.IR
Citations
15
Venue
arXiv.org
Last Checked
3 months ago
Abstract
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.
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