Name
Abstract | ||
|---|---|---|
In recent years, the integration of knowledge graphs into explainable recommendation systems has attracted more and more attention. And the relations existing in the knowledge graph can provide much information while exploring the users' preference. However, existing approaches only consider the single relation between entities, so they lack accuracy and practicality for multiple relations. In add... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/Cybconf47073.2019.9436539 | 2019 4th IEEE International Conference on Cybernetics (Cybconf) |
Keywords | DocType | ISBN |
Knowledge engineering,Deep learning,Conferences,Semantics,Neural networks,Cognition,Recommender systems | Conference | 978-1-7281-0030-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tongxuan Wang | 1 | 0 | 0.34 |
| Xiaolong Zheng | 2 | 3 | 3.07 |
| Saike He | 3 | 0 | 0.34 |
| Zhu Zhang | 4 | 0 | 0.34 |
| Desheng Dash Wu | 5 | 0 | 0.34 |
| Daniel Dajun Zeng | 6 | 0 | 0.34 |