1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2022★ 1 cited
"Does it come in black?" CLIP-like models are zero-shot recommenders
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi +2
Product discovery is a crucial component for online shopping. However, item-to-item recommendations today do not allow users to explore changes along selected dimensions: given a q…
cs.IR2019
How big can style be? Addressing high dimensionality for recommending with style
Diogo Goncalves, Liweu Liu, Ana Magalhães
Using embeddings as representations of products is quite commonplace in recommender systems, either by extracting the semantic embeddings of text descriptions, user sessions, colla…