Baisong Liu

Content‐based and knowledge graph‐based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation

2021 · Concurrency and Computation

Researchers usually face difficulties in finding scientific papers relevant to their research interests due to increasing growth. Recommender systems emerge as a leading solution to filter valuable items intelligently. Recently, deep learning algorithms, such as …

Exploring the Impact of Large Language Model-Simulated Personalities on Recommendation

2025

In recent years, Large Language Model-based Recommendation Systems (LLMRec) have achieved remarkable advancements. By designing effective prompts, LLMs can understand user interests and either directly generate recommendations based on users' interests or assist traditional recommendation …