3 papers
cs.SI2024
A multi-theoretical kernel-based approach to social network-based recommendation
Xin Li, Mengyue Wang, T. -P. Liang
Recommender systems are a critical component of e-commercewebsites. The rapid development of online social networking services provides an opportunity to explore social networks to…
cs.IR2024
Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach
Haidong Zhang, Wancheng Ni, Xin Li +1
Recommender systems are widely used for suggesting books, education materials, and products to users by exploring their behaviors. In reality, users' preferences often change over…
cs.CL2024
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature
Sijia Zhou, Xin Li
Section identification is an important task for library science, especially knowledge management. Identifying the sections of a paper would help filter noise in entity and relation…