张志鹏｜辽宁师范大学｜学者主页

2026

The Impacts of the Information Cocoon Effect on Customer Emotional, Cognitive, and Behavioral Engagement in Short Video Marketing

Zhipeng Zhang, Liyi Zhang

Journal Of Consumer Behaviour

DOI

2026

KG-LTSR: Knowledge graph-augmented contrastive learning for sequential recommendation of long-tail users

Zhipeng Zhang, Zhipeng Zhang, Mengyao Wang, Jiaxing Li, Jiaxing Li, Yao Zhang, Yonggong Ren, Qingxu Deng

Information Processing & Management

DOI

2025

How do online celebrities attract consumers? an EEG study on consumers' neural engagement in short video advertising

Zhipeng Zhang, Liyi Zhang

Electronic Commerce Research

DOI

2025

Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation

Zhipeng Zhang, Youfu Zhu, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

基于泰勒展开的BPNN-TaylorLoss非均衡样本违约预测模型

杨莲，刘文秀，张志鹏，石宝峰

《系统工程理论与实践》，Vol. 44, No. 12

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2024

基于知识增强对比学习的长尾用户序列推荐算法

任永功，周平磊，张志鹏

《通信学报》

2024

基于多元属性表征增强的会话推荐系统研究与实现

张志鹏

《电子科技大学》

2024

TaxiGuider: Pick-Up Service Recommendation via Multiple Spatial-Temporal Trajectories

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren

IEEE Transactions on Services Computing

DOI

2024

Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation

Zhipeng Zhang, Anqi Wang, Yao Zhang, Yonggong Ren, Wenqing Li, Bowen Wang, Masahiro Inuiguchi

Information Sciences

DOI

2024

Collaborative Tag-Aware Graph Neural Network for Long-Tail Service Recommendation

Zhipeng Zhang, Yuhang Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren

IEEE Transactions on Services Computing

DOI

2023

基于违约企业分布约束的上市公司信用等级划分模型

周颖，张志鹏

《管理评论》，Vol. 35, No. 5

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2023

User-Oriented Interest Representation on Knowledge Graph for Long-Tail Recommendation

Zhipeng Zhang, Yuhang Zhang, Yuhang Zhang, Anqi Wang, Pinglei Zhou, Yao Zhang, Yao Zhang, Yonggong Ren

Lecture notes in computer science

DOI

2022

融合知识图谱与注意力机制的个性化序列推荐

任永功，吕福泽，张志鹏

《小型微型计算机系统》

2021

基于社交网络能量扩散的协同过滤推荐算法

任永功，王瑞霞，张志鹏

《模式识别与人工智能》

DOI

2021

基于加权三部图的协同过滤推荐算法

任永功，王宁婧，张志鹏

《模式识别与人工智能》

DOI

2021

Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yasuo Kudo

IEEE Transactions on Services Computing

DOI

2021

LBCF: A Link-Based Collaborative Filtering for Overfitting Problem in Recommender System

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren

IEEE Transactions on Computational Social Systems

DOI

2020

基于非平衡数据处理的上市公司ST预警混合模型

迟国泰，章彤，张志鹏

《管理评论》，Vol. 32, No. 3

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2020

融合关系挖掘与协同过滤的物品冷启动推荐算法

任永功，石佳鑫，张志鹏

《模式识别与人工智能》

DOI

2020

缓解数据稀疏问题的协同过滤混合填充算法

任永功，王思雨，张志鹏

《模式识别与人工智能》

DOI

2020

Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering

Zhipeng Zhang, Yao Zhang, Yonggong Ren

Information Retrieval

DOI

2020

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yasuo Kudo

IEEE Transactions on Computational Social Systems

DOI

2020

Improved covering-based collaborative filtering for new users’ personalized recommendations

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai, Yonggong Ren

Knowledge and Information Systems

DOI

2019

一种利用相关性度量的不确定数据频繁模式挖掘

任永功，高鹏，张志鹏

《小型微型计算机系统》

2019

基于覆盖约简的个性化协同过滤推荐方法

张志鹏，张尧，任永功

《模式识别与人工智能》

DOI

2019

基于时间相关度和覆盖权重的协同过滤推荐算法

张志鹏，张尧，任永功

《模式识别与人工智能》

2019

Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai, Yonggong Ren

Applied Sciences

DOI

2019

Addressing Complete New Item Cold-Start Recommendation: A Niche Item-Based Collaborative Filtering via Interrelationship Mining

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai, Yonggong Ren

Applied Sciences

DOI

张志鹏

精选作品

期刊论文

The Impacts of the Information Cocoon Effect on Customer Emotional, Cognitive, and Behavioral Engagement in Short Video Marketing

KG-LTSR: Knowledge graph-augmented contrastive learning for sequential recommendation of long-tail users

How do online celebrities attract consumers? an EEG study on consumers' neural engagement in short video advertising

Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation

基于泰勒展开的BPNN-TaylorLoss非均衡样本违约预测模型

基于知识增强对比学习的长尾用户序列推荐算法

基于多元属性表征增强的会话推荐系统研究与实现

TaxiGuider: Pick-Up Service Recommendation via Multiple Spatial-Temporal Trajectories

Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation

Collaborative Tag-Aware Graph Neural Network for Long-Tail Service Recommendation

基于违约企业分布约束的上市公司信用等级划分模型

User-Oriented Interest Representation on Knowledge Graph for Long-Tail Recommendation

融合知识图谱与注意力机制的个性化序列推荐

基于社交网络能量扩散的协同过滤推荐算法

基于加权三部图的协同过滤推荐算法

Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation

LBCF: A Link-Based Collaborative Filtering for Overfitting Problem in Recommender System

基于非平衡数据处理的上市公司ST预警混合模型

融合关系挖掘与协同过滤的物品冷启动推荐算法

缓解数据稀疏问题的协同过滤混合填充算法

Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Improved covering-based collaborative filtering for new users’ personalized recommendations

一种利用相关性度量的不确定数据频繁模式挖掘

基于覆盖约简的个性化协同过滤推荐方法

基于时间相关度和覆盖权重的协同过滤推荐算法

Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting

Addressing Complete New Item Cold-Start Recommendation: A Niche Item-Based Collaborative Filtering via Interrelationship Mining

预印本

Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning

研究方向