5 citations · 13 across the 5 of their papers we have counts for
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cs.IR2023★ 1 cited
CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models
Yanyu Chen, Yao Yao, Wai Kin Victor Chan +4
Data sparsity and cold-start problems are persistent challenges in recommendation systems. Cross-domain recommendation (CDR) is a promising solution that utilizes knowledge from th…
cs.IR2022★ 5 cited
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
Yao Yao, Bin Liu, Haoxun He +4
Input features play a crucial role in DNN-based recommender systems with thousands of categorical and continuous fields from users, items, contexts, and interactions. Noisy feature…