1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2026
An Event is Worth One Token: Event Tokenization for Industrial-scale LLM Recommendation
Fan Xia, Zhaoheng Zheng, Iman Setayesh +12
LLM-based recommendation has scaled along model capacity and sequence length, yet each position encodes only text, semantic IDs, or a few categorical features, discarding rich user…
cs.IR2022★ 1 cited
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation
Zhu Wang, Honglong Chen, Zhe Li +3
Sparsity of user-to-item rating data becomes one of challenging issues in the recommender systems, which severely deteriorates the recommendation performance. Fortunately, context-…