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Found 4 papers, 4 papers with code
Improving Collaborative Metric Learning with Efficient Negative Sampling
Distance metric learning based on triplet loss has been applied with success in a wide range of applications such as face recognition, image retrieval, speaker change detection and recently recommendation with the CML model.
Disambiguating Music Artists at Scale with Audio Metric Learning
We address the problem of disambiguating large scale catalogs through the definition of an unknown artist clustering task.
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
We consider the task of multimodal music mood prediction based on the audio signal and the lyrics of a track.
Word2Vec applied to Recommendation: Hyperparameters Matter
Skip-gram with negative sampling, a popular variant of Word2vec originally designed and tuned to create word embeddings for Natural Language Processing, has been used to create item embeddings with successful applications in recommendation.
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