Name
Abstract | ||
|---|---|---|
With the prevalence of online social platforms, social recommendation has emerged as a promising direction that leverages the social network among users to enhance recommendation performance. However, the available social relations among users are usually extremely sparse and noisy, which may lead to inferior recommendation performance. To alleviate this problem, this paper novelly exploits the im... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TKDE.2020.2982878 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Bipartite graph,Recommender systems,Noise measurement,Task analysis,Data models,Semantics | Journal | 34 |
Issue | ISSN | Citations |
2 | 1041-4347 | 2 |
PageRank | References | Authors |
0.36 | 22 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongxu Chen | 1 | 132 | 10.74 |
| Hongzhi Yin | 2 | 2 | 0.36 |
| Tong Chen | 3 | 4 | 1.73 |
| Weiqing Wang | 4 | 2 | 0.36 |
| Xue Li | 5 | 2196 | 186.96 |
| Xia Hu | 6 | 2411 | 110.07 |