Jing Lin

According to our database, Jing Lin authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets.

Jing Lin, Mingkai He, Weike Pan, Zhong Ming

Inf. Sci., April, 2023

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.

Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming

ACM Trans. Intell. Syst. Technol., February, 2023

2022

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation.

Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Sequence-aware similarity learning for next-item recommendation.

Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming

J. Supercomput., 2021

2020

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity.

Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., 2020

Matrix factorization with heterogeneous multiclass preference context.

Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming

Neurocomputing, 2020

FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation.

Jing Lin, Weike Pan, Zhong Ming

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation.

Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Neighborhood-enhanced transfer learning for one-class collaborative filtering.

Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming

Neurocomputing, 2019

2018

MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction.

Jing Lin, Weike Pan, Zhong Ming

Proceedings of the Web Services - ICWS 2018, 2018