Chenzhong Bin

According to our database, Chenzhong Bin authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Multi-behavior-based graph contrastive learning recommendation.

Chenzhong Bin, Weiliang Li, Fangjian Wu, Liang Chang, Yimin Wen

Knowl. Inf. Syst., June, 2024

A multi-view heterogeneous knowledge learning method for personalized POI recommendation.

Chenzhong Bin, Wenqiang Liu, Hantao Ding, Yimin Wen

J. Intell. Fuzzy Syst., 2024

2023

Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement.

Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Considering Fine-Grained and Coarse-Grained Information for Context-Aware Recommendations.

Yiqin Luo, Yanpeng Sun, Liang Chang, Tianlong Gu, Chenzhong Bin, Long Li

Comput. J., 2022

2021

Neighborhood Attentional Memory Networks for Recommendation Systems.

Tianlong Gu, Hongliang Chen, Chenzhong Bin, Liang Chang, Wei Chen

Sci. Program., 2021

Combining user-end and item-end knowledge graph learning for personalized recommendation.

Tianlong Gu, Haohong Liang, Chenzhong Bin, Liang Chang

J. Intell. Fuzzy Syst., 2021

Exploiting multi-attention network with contextual influence for point-of-interest recommendation.

Liang Chang, Wei Chen, Jianbo Huang, Chenzhong Bin, Wenkai Wang

Appl. Intell., 2021

2020

Multiview Translation Learning for Knowledge Graph Embedding.

Chenzhong Bin, Saige Qin, Guanjun Rao, Tianlong Gu, Liang Chang

Sci. Program., 2020

A neural multi-context modeling framework for personalized attraction recommendation.

Chenzhong Bin, Tianlong Gu, Zhonghao Jia, Guiming Zhu, Cihan Xiao

Multim. Tools Appl., 2020

2019

A Travel Route Recommendation System Based on Smart Phones and IoT Environment.

Chenzhong Bin, Tianlong Gu, Yanpeng Sun, Liang Chang, Lei Sun

Wirel. Commun. Mob. Comput., 2019

A personalized POI route recommendation system based on heterogeneous tourism data and sequential pattern mining.

Chenzhong Bin, Tianlong Gu, Yanpeng Sun, Liang Chang

Multim. Tools Appl., 2019

基于知识图谱和频繁序列挖掘的旅游路线推荐 (Travel Route Recommendation Based on Knowledge Graph and Frequent Sequence Mining).

Wenping Sun, Liang Chang, Chenzhong Bin, Tianlong Gu, Yanpeng Sun

计算机科学, 2019

A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph.

Guiming Zhu, Chenzhong Bin, Tianlong Gu, Liang Chang, Yanpeng Sun, Wei Chen, Zhonghao Jia

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Jointing Knowledge Graph and Neural Network for Top-N Recommendation.

Wei Chen, Liang Chang, Chenzhong Bin, Tianlong Gu, Zhonghao Jia

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Knowledge Graph Embedding Based on Adaptive Negative Sampling.

Saige Qin, Guanjun Rao, Chenzhong Bin, Liang Chang, Tianlong Gu, Wen Xuan

Proceedings of the Data Science, 2019

ESN-NER: entity storage network using attention mechanism for chinese NER.

Wenkai Wang, Liang Chang, Chenzhong Bin, Wen Xuan, Wei Chen, Long Li

Proceedings of the International Conference on Artificial Intelligence, 2019

2018

A Multi-latent Semantics Representation Model for Mining Tourist Trajectory.

Yanpeng Sun, Tianlong Gu, Chenzhong Bin, Liang Chang, Haili Kuang, Zhaowei Huang, Lei Sun

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Personalized POIs Travel Route Recommendation System Based on Tourism Big Data.

Chenzhong Bin, Tianlong Gu, Yanpeng Sun, Liang Chang, Wenping Sun, Lei Sun

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Travel Attractions Recommendation with Travel Spatial-Temporal Knowledge Graphs.

Weitao Zhang, Tianlong Gu, Wenping Sun, Phatpicha Yochum, Liang Chang, Chenzhong Bin

Proceedings of the Data Science, 2018

2017

Knowledge Graph Embedding by Dynamic Translation.

Liang Chang, Manli Zhu, Tianlong Gu, Chenzhong Bin, Junyan Qian, Ji Zhang

IEEE Access, 2017