• DOI:10.1145/2124295.2124300
Corpus ID: 2956587

Auralist: introducing serendipity into music recommendation

@inproceedings{Zhang2012AuralistIS,
  title={Auralist: introducing serendipity into music recommendation},
  author={Y. Zhang and Diarmuid {\'O} S{\'e}aghdha and D. Quercia and T. Jambor},
  booktitle={WSDM '12},
  year={2012}
}

• Y. Zhang, Diarmuid Ó Séaghdha, +1 author T. Jambor
• Published in WSDM '12 2012
• Computer Science

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…Expand

View on ACM

cl.cam.ac.uk

Save to Library

Create Alert

Cite

Launch Research Feed