Name
Title | ||
|---|---|---|
Privacy-Aware Cross-Platform Service Recommendation based on Enhanced Locality-Sensitive Hashing |
Abstract | ||
|---|---|---|
Recommender systems are a promising way for users to quickly find the valuable information that they are interested in from massive data. Concretely, by capturing the user's personalized preferences, a recommender system can return a list of recommended items that best match the user preferences by using collaborative filtering. However, in the big data environment, the heavily fragmented distribu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSE.2020.2969489 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Quality of service,Data privacy,Privacy,Recommender systems,Indexes,Encryption,Big Data | Journal | 8 |
Issue | ISSN | Citations |
2 | 2327-4697 | 5 |
PageRank | References | Authors |
0.45 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lianyong Qi | 1 | 560 | 57.12 |
| Xiaokang Wang | 2 | 160 | 12.10 |
| Xu Xiaolong | 3 | 424 | 64.23 |
| Wanchun Dou | 4 | 878 | 96.01 |
| Shancang Li | 5 | 3037 | 124.63 |