3 papers
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
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…