Research Article
CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC
Table 2
Eight factors in the users’ feedback on personalization services (PS) and the related parameters.
| Factors | Questions | User Feedback Sample | Alpha | AVE |
| item expertise | 4 | I know the artists very well, and my friends always accept my music suggestions. | 0.83 | 0.832 | trusting propensity | 4 | I seldom accept a personalization from a stranger. | 0.73 | 0.681 | familiarity with privacy & PS | 3 | I understand that the personalized needs people’s private information to generate better personalization. | 0.89 | 0.893 | understandability | 3 | The model provides better management of friends’ posts across multiple sites. | 0.75 | 0.709 | satisfaction | 5 | The informing function of the model saved me time in viewing my friends’ status updates on all sites. | 0.90 | 0.738 | PS quality | 4 | I like the recommended item. | 0.78 | 0.712 | privacy concern | 5 | I don’t like requests that are too sensitive. | 0.75 | 0.709 | PS diversity | 3 | I like the personalization of a new type of item. | 0.81 | 0.731 |
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