Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval — mentioned by tazjin

Wed, 04 Jun 2025 14:56:38 GMT

This is a new public dataset that can be used for training (music) recommender systems, based on anonymized user track choices (for things like "users who like $X also like $Y" and so on). There's more technical info in the associated paper: https://arxiv.org/abs/2505.22238 Events are timestamped, too, so this could potentially be used to train for things like recommending stuff based on the current mood (I run into this all the time where I might get a recommendation that, in another mood, would hit the spot, but it's not the thing right now). (Disclaimer: I work at Yandex, but not on…

Paper and discussion history. A mention is not an endorsement.

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval — HN submission

Mon, 02 Jun 2025 11:05:23 GMT

Yambda-5B – A Large-Scale Multi-Modal Dataset for Ranking and Retrieval

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval · HackerPapers discussions

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval — mentioned by tazjin

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval — HN submission