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High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits
May 12, 2023 Β· Declared Dead Β· π The European Symposium on Artificial Neural Networks
"No code URL or promise found in abstract"
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Authors
David Young, Douglas Leith
arXiv ID
2305.18305
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG
Citations
0
Venue
The European Symposium on Artificial Neural Networks
Last Checked
4 months ago
Abstract
We develop a novel latent-bandit algorithm for tackling the cold-start problem for new users joining a recommender system. This new algorithm significantly outperforms the state of the art, simultaneously achieving both higher accuracy and lower regret.
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