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cs.IR2025
Light distillation for Incremental Graph Convolution Collaborative Filtering
X Fan, F Mo, C Chen +1
Recommender systems presently utilize vast amounts of data and play a pivotal role in enhancing user experiences. Graph Convolution Networks (GCNs) have surfaced as highly efficien…
cs.IR2025★ 1 cited
Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment
Chongxian Chen, Fan Mo, Xin Fan +1
Personalized fashion recommendation is a difficult task because 1) the decisions are highly correlated with users' aesthetic appetite, which previous work frequently overlooks, and…
cs.IR2024
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
Yuxiang Zhang, Xin Fan, Junjie Wang +4
Recent advancements in large language models (LLMs) integrated with external tools and APIs have successfully addressed complex tasks by using in-context learning or fine-tuning. D…