USDB: Scaling Storage for Next-Generation Recommender Systems at ByteDance (arxiv.org)

23 pointsby 1equalsequals12 hours ago2 comments

BenoitP an hour ago

Setting up a classical DLRM at work, show of hands: who has managed to bridge the gap to generative recommenders or LRMs?

Our survey identified quite a substantial list of challenges: product cardinality (Semantic IDs?), low performance vs discriminative recommenders (our user intents are heavily biases towards repetitive products), cold starts, entity features, missing explainability suite, training cost, prediction cost, etc.

Has anyone done it easily? Where is the tutorial for generative recommenders ?

whimsicalism 19 minutes ago

GR expertise is essentially only in-house at major social media companies or people hired from these companies. Closest thing to a tutorial for LRM is the Kuaishou onerec papers.