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Found 4 papers, 3 papers with code
A User-Centered Investigation of Personal Music Tours
We assess the algorithms, we discuss attributes of the tours that the algorithms produce, we identify which attributes are desirable and which are not, and we enumerate several possible improvements to the algorithms, along with practical suggestions on how to implement the improvements.
An Interpretable Music Similarity Measure Based on Path Interestingness
The results highlight the validity of our approach to music similarity, and demonstrate that path interestingness scores can be the basis of an accurate and interpretable similarity measure.
On the instability of embeddings for recommender systems: the case of Matrix Factorization
In this paper we question the reliability of the embeddings learned by Matrix Factorization (MF).
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