Pengtao Lv

According to our database, Pengtao Lv authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DSMN: An Improved Recommendation Model for Capturing the Multiplicity and Dynamics of Consumer Interests.

Pengtao Lv, Zhenhan Guan, Qinghui Zhang, Jiale Gu, Shuai Zhang, Lei Lv, Mengya Zhang, Lei Li, Chengyang Zhao

IEEE Trans. Consumer Electron., February, 2024

Intelligent extraction of medical entity relationship based on graph neural network and optimization strategy.

Pengtao Lv, Qinghui Zhang, Meng Wu, Muhammet Deveci, Lei Shi, Yaya Sun, Kaiyang Zhong, Jingping Wang

Knowl. Based Syst., 2024

Exploring on role of location in intelligent news recommendation from data analysis perspective.

Pengtao Lv, Qinghui Zhang, Lei Shi, Zhenhan Guan, Yanfeng Fan, Jie Li, Kaiyang Zhong, Muhammet Deveci

Inf. Sci., 2024

Self-derived Knowledge Graph Contrastive Learning for Recommendation.

Lei Shi, Jiapeng Yang, Pengtao Lv, Lu Yuan, Feifei Kou, Jia Luo, Mingying Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Adaptive Context-Embedded Hypergraph Convolutional Network for Session-based Recommendation.

Chenyang Zhao, Heling Cao, Pengtao Lv, Yonghe Chu, Feng Wang, Tianli Liao

Inf. Technol. Control., March, 2023

2022

Research on named entity recognition of chinese electronic medical records based on multi-head attention mechanism and character-word information fusion.

Qinghui Zhang, Meng Wu, Pengtao Lv, Mengya Zhang, Hongwei Yang

J. Intell. Fuzzy Syst., 2022

Unsound wheat kernel recognition based on deep convolutional neural network transfer learning and feature fusion.

Qinghui Zhang, Xinxin Tian, Weidong Chen, Hongwei Yang, Pengtao Lv, Yong Wu

J. Intell. Fuzzy Syst., 2022

2021

Chinese Medical Entity Recognition Model Based on Character and Word Vector Fusion.

Qinghui Zhang, Lei Hou, Pengtao Lv, Mengya Zhang, Hongwei Yang

Sci. Program., 2021

UDA: A user-difference attention for group recommendation.

Shuxun Zan, Yujie Zhang, Xiangwu Meng, Pengtao Lv, Yulu Du

Inf. Sci., 2021

2020

BoRe: Adapting to Reader Consumption Behavior Instability for News Recommendation.

Pengtao Lv, Xiangwu Meng, Yujie Zhang

ACM Trans. Inf. Syst., 2020

GERF: A Group Event Recommendation Framework Based on Learning-to-Rank.

Yulu Du, Xiangwu Meng, Yujie Zhang, Pengtao Lv

IEEE Trans. Knowl. Data Eng., 2020

2017

FeRe: Exploiting influence of multi-dimensional features resided in news domain for recommendation.

Pengtao Lv, Xiangwu Meng, Yujie Zhang

Inf. Process. Manag., 2017

2016

A Method for Materials Knowledge Extraction from HTML Tables Based on Sibling Comparison.

Xiaoming Zhang, Pengtao Lv, Chongchong Zhao, Jianxian Wang

Int. J. Softw. Eng. Knowl. Eng., 2016