Yanjie Fu
6 papers in the PaperMetrix corpus
Papers by this author
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Joint Item Recommendation and Attribute Inference
2020
In many recommender systems, users and items are associated with attributes, and users show preferences to items. The attribute information describes users'(items') characteristics and has a wide range of applications, such as user profiling, item …
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Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning
2022 · Proceedings of the ACM Web Conference 2022
Knowledge graphs (KGs) have been widely used to improve recommendation accuracy. The multi-hop paths on KGs also enable recommendation reasoning, which is considered a crystal type of explainability. In this paper, we propose a reinforcement …
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Semi-supervised Drifted Stream Learning with Short Lookback
2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
In many scenarios, 1) data streams are generated in real time; 2) labeled data are expensive and only limited labels are available in the beginning; 3) real-world data is not always i.i.d. and data drift …
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MixLLM: Dynamic Routing in Mixed Large Language Models
2025
Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human …
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POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
2016
Point of interest (POI) recommendation, which provides personalized recommendation of places to mobile users, is an important task in location-based social networks (LBSNs). However, quite different from traditional interest-oriented merchandise recommendation, POI recommendation is more …
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A Neural Influence Diffusion Model for Social Recommendation
2019
Precise user and item embedding learning is the key to building a successful recommender system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item embeddings from the user-item interaction history. However, the …