A Privacy-Preserving and Identity-Based Personalized Recommendation Scheme for Encrypted Tasks in Crowdsourcing
Personalized task recommendation can guarantee that tasks are pushed to the right workers, and thus, requesters gain better-quality output from a crowdsourcing system. Requesters' tasks and workers' interests exposed to the remote crowdsourcing platform in the form of plaintext have raised serious p...
שמור ב:
| Principais autores: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
IEEE
2019-01-01
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| סדרה: | IEEE Access |
| נושאים: | |
| גישה מקוונת: | https://ieeexplore.ieee.org/document/8846755/ |
| תגים: |
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