Extending E4SRec with multimodal content features on LastFM-1K yields up to 95% Recall and 79% NDCG gains over ID-only baselines, though naive fusion does not always improve results.
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Pretrained audio models show large performance gaps between standard MIR tasks and music recommendation in both hot and cold-start settings.
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Multimodal Music Recommendation System using LLMs
Extending E4SRec with multimodal content features on LastFM-1K yields up to 95% Recall and 79% NDCG gains over ID-only baselines, though naive fusion does not always improve results.
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Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems
Pretrained audio models show large performance gaps between standard MIR tasks and music recommendation in both hot and cold-start settings.