KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems | Citedby Results | Data Intelligence | MIT Press

Skip to Main Content

Skip Nav Destination

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems

Data Intelligence (2019) 1 (2): 121–136.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems

Xintao Ma
Liyan Dong
Yuequn Wang
Yongli Li
Hao Zhang

Knowledge and Information Systems (2023) 65 (1): 163.

Knowledge-Guided Disentangled Representation Learning for Recommender Systems

Shanlei Mu
Yaliang Li
Wayne Xin Zhao
Siqing Li
Ji-Rong Wen

ACM Transactions on Information Systems (2022) 40 (1): 1.

IFGAN: Information fusion generative adversarial network for knowledge base completion

Tianchen Zhang
Zhongqin Bi
Meijing Shan
Yongbin Li

Expert Systems (2022) 39 (6)

Improving recommender system via knowledge graph based exploring user preference

Huilian Fan
Yuanchang Zhong
Guangpu Zeng
Chenhao Ge

Applied Intelligence (2022) 52 (9): 10032.

Similarity attributed knowledge graph embedding enhancement for item recommendation

Nasrullah Khan
Zongmin Ma
Aman Ullah
Kemal Polat

Information Sciences (2022) 613: 69.

HSRec: Hierarchical self-attention incorporating knowledge graph for sequential recommendation

Zuoxi Yang
Shoubin Dong

Journal of Intelligent & Fuzzy Systems (2022) 42 (4): 3749.

Individual Diversity Preference Aware Neural Collaborative Filtering

Guanzhong Liang
Junhao Wen
Wei Zhou

Knowledge-Based Systems (2022) 258: 109730.

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation

Zuoxi Yang
Shoubin Dong
Jinlong Hu

Knowledge-Based Systems (2021) 230: 107375.