刘柏嵩｜宁波大学｜学者主页

期刊论文

2026

Federated cross-domain CTR prediction with triple-view contrastive learning and LLM augmentation

Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian, Yangyang Wang

Information Processing & Management，Vol. 63, No. 2

DOI

2026

PACER: Enhancing Personalized Explainability in Recommendation through Personality Traits and Multi-LLM Reasoning

Chengkai Wang, Han Han, Yiru Zhou, Tingting Ma, Qingning Hu, Baisong Liu

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2026

Mitigating selective disclosure in recommender explanations via risk-aware memory and hierarchical planning

Chengkai Wang, Baisong Liu

Journal of King Saud University - Computer and Information Sciences

DOI

2026

MAPT: A Dynamic Recommendation Framework Based on Multi-Agent Collaboration and Prompt Self-tuning

Yiru Zhou, Chengkai Wang, Han Han, Tingting Ma, Qingning Hu, Baisong Liu

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2025

Membership Inference Attacks Against Cross-Domain Recommender Systems

Jing-Ru Yang, Baisong Liu

2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)

DOI

2025

DareCRS: A Dual-Strategy Approach for User-Oriented Fairness in Conversational Recommender Systems

Zijing Wang, Baisong Liu, Wei Liu, Xueyuan Zhang, Hongzan Mao, Zining Feng

International Conference on Parallel and Distributed Systems

DOI

2025

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

Zining Feng, Zijing Wang, Hongzan Mao, Baisong Liu

International Conference on Computer Supported Cooperative Work in Design

DOI

2025

PERec: Prompt-Enhanced Semantic Modeling with Large Language Models for Long-Tail Recommendation

Han Han, Chengkai Wang, Yirun Zhou, Ting-Ting Ma, Baisong Liu

International Conference on Parallel and Distributed Systems

DOI

2023

基于时间和关系感知的图协同过滤跨域序列推荐

任豪，刘柏嵩，孙金杨，董倩，钱江波

《计算机研究与发展》

2023

融合文本主题的异构网络学术刊物推荐方法

王冰源，刘柏嵩，张雪垣，钦蒋承，董倩，钱江波，宁波大学

《计算机工程与应用》

2022

卷积融合文本和异质信息网络的学术论文推荐算法

吴俊超，刘柏嵩，沈小烽，张雪垣

《计算机应用研究》

2022

一种融合用户显隐式阅读偏好的论文推荐模型

唐浩，刘柏嵩，黄伟明

《计算机应用与软件》

2021

TAGAN：一种融合细粒度语义特征的学术论文对抗推荐算法

孙金杨，刘柏嵩，任豪，钱江波

《电信科学》

2020

NHRec:一种基于长短期兴趣的神经混合推荐模型

孙金杨，刘柏嵩，任豪，黄伟明

《小型微型计算机系统》

2020

面向知识迁移的跨领域推荐算法研究进展

任豪，刘柏嵩，孙金杨

《计算机科学与探索》

2019

融合网络图模型和排序模型的论文个性化推荐算法

刘伟，刘柏嵩，王洋洋

《数据通信》

2018

海量学术资源个性化推荐综述

刘伟，刘柏嵩，王洋洋

《计算机工程与应用》

2018

群组推荐分析与研究综述

吴云昌，刘柏嵩，王洋洋，费晨杰

《电信科学》

2017

跨类型的学术资源优质推荐算法研究

尹丽玲，刘柏嵩，王洋洋

《情报学报》，Vol. 36, No. 7

下载原文

2016

基于用户信任及推荐反馈机制的社会网络推荐模型

翟鹤，刘柏嵩

《计算机应用与软件》

会议论文

2019

Privacy Protection for Recommendation System: A Survey

Weiming Huang, Baisong Liu, Hao Tang

Proceedings of 2019 International Conference on Artificial Intelligence Technologies and Applications(ICAITA 2019)(VOL.2)

DOI

预印本

2026

Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation

Chengkai Wang, Baisong Liu

arXiv (Cornell University)

DOI

刘柏嵩

精选作品

期刊论文

Federated cross-domain CTR prediction with triple-view contrastive learning and LLM augmentation

PACER: Enhancing Personalized Explainability in Recommendation through Personality Traits and Multi-LLM Reasoning

Mitigating selective disclosure in recommender explanations via risk-aware memory and hierarchical planning

MAPT: A Dynamic Recommendation Framework Based on Multi-Agent Collaboration and Prompt Self-tuning

Membership Inference Attacks Against Cross-Domain Recommender Systems

DareCRS: A Dual-Strategy Approach for User-Oriented Fairness in Conversational Recommender Systems

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

PERec: Prompt-Enhanced Semantic Modeling with Large Language Models for Long-Tail Recommendation

基于时间和关系感知的图协同过滤跨域序列推荐

融合文本主题的异构网络学术刊物推荐方法

卷积融合文本和异质信息网络的学术论文推荐算法

一种融合用户显隐式阅读偏好的论文推荐模型

TAGAN：一种融合细粒度语义特征的学术论文对抗推荐算法

NHRec:一种基于长短期兴趣的神经混合推荐模型

面向知识迁移的跨领域推荐算法研究进展

融合网络图模型和排序模型的论文个性化推荐算法

海量学术资源个性化推荐综述

群组推荐分析与研究综述

跨类型的学术资源优质推荐算法研究

基于用户信任及推荐反馈机制的社会网络推荐模型

会议论文

Privacy Protection for Recommendation System: A Survey

预印本

Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation

研究方向