Auralist: introducing serendipity into music recommendation

@inproceedings{Zhang2012AuralistIS,
  title={Auralist: introducing serendipity into music recommendation},
  author={Yuan Cao Zhang and Diarmuid {\'O} S{\'e}aghdha and Daniele Quercia and Tamas Jambor},
  booktitle={WSDM '12},
  year={2012}
}
Recommendation systems exist to help users discover content in a large body of items. [] Key Method Using a collection of novel algorithms inspired by principles of "serendipitous discovery", we demonstrate a method of successfully injecting serendipity, novelty and diversity into recommendations whilst limiting the impact on accuracy. We evaluate Auralist quantitatively over a broad set of metrics and, with a user study on music recommendation, show that Auralist's emphasis on serendipity indeed improves…
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