Bridging items and language: A transition paradigm for large language model-based recommendation
Harnessing Large Language Models (LLMs) for recommendation is rapidly emerging, which
relies on two fundamental steps to bridge the recommendation item space and the language …
relies on two fundamental steps to bridge the recommendation item space and the language …
Triple sequence learning for cross-domain recommendation
H Ma, R ** for privacy-preserving cross domain recommendation
Cross-Domain Recommendation (CDR) has been popularly studied for solving the data
sparsity problem via leveraging rich knowledge from the auxiliary domain. Most of the …
sparsity problem via leveraging rich knowledge from the auxiliary domain. Most of the …