21 citations · 45 across the 16 of their papers we have counts for
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cs.IR2025★ 1 cited
Generating Long Semantic IDs in Parallel for Recommendation
Yupeng Hou, Jiacheng Li, Ashley Shin +6
Semantic ID-based recommendation models tokenize each item into a small number of discrete tokens that preserve specific semantics, leading to better performance, scalability, and…
cs.IR2021★ 1 cited
Linear, or Non-Linear, That is the Question!
Taeyong Kong, Taeri Kim, Jinsung Jeon +4
There were fierce debates on whether the non-linear embedding propagation of GCNs is appropriate to GCN-based recommender systems. It was recently found that the linear embedding p…
cs.IR2021★ 6 cited
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Jeongwhan Choi, Jinsung Jeon, Noseong Park
Collaborative filtering (CF) is a long-standing problem of recommender systems. Many novel methods have been proposed, ranging from classical matrix factorization to recent graph c…