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Found 5 papers, 2 papers with code
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings
Song embeddings are a key component of most music recommendation engines.
Bootstrapping a Music Voice Assistant with Weak Supervision
One of the first building blocks to create a voice assistant relates to the task of tagging entities or attributes in user queries.
Sequence-Aware Recommender Systems
In this work we review existing works that consider information from such sequentially-ordered user- item interaction logs in the recommendation process.
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Session-based recommendations are highly relevant in many modern on-line services (e. g. e-commerce, video streaming) and recommendation settings.
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation
In this paper, we show that user's preferences on movies can be better described in terms of the mise-en-sc\`ene features, i. e., the visual aspects of a movie that characterize design, aesthetics and style (e. g., colors, textures).
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