Name
Abstract | ||
|---|---|---|
Personalized online recommendations strive to adapt their services to individual users by making use of both item and user information. Despite recent progress, the issue of balancing exploitation-exploration (EE) [1] remains challenging. In this paper, we model the personalized online recommendation of e-commence as a two-phase multi-armed bandit problem. This is the first time that “big arm” and... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DSAA53316.2021.9564225 | 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) |
Keywords | DocType | ISBN |
Measurement,Adaptation models,Scalability,Conferences,Computational modeling,Clustering algorithms,Data science | Conference | 978-1-6654-2099-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cairong Yan | 1 | 19 | 9.25 |
| Haixia Han | 2 | 0 | 0.34 |
| Zijian Wang | 3 | 2 | 1.72 |
| Yanting Zhang | 4 | 3 | 2.80 |