Research Article
Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern
Table 8
Comparison of SP-HCFR under the influence of different
(
P @
R).
| SP-HCFR | ( = 10, 20, 30, 50) | ( = 10, 20, 30, 50) | 10 | 20 | 30 | 50 | 10 | 20 | 30 | 50 |
| 0.0 | 0.49 | 0.54 | 0.56 | 0.59 | 0.45 | 0.50 | 0.54 | 0.55 | 0.2 | 0.51 | 0.57 | 0.58 | 0.60 | 0.50 | 0.53 | 0.55 | 0.57 | 0.4 | 0.53 | 0.58 | 0.59 | 0.60 | 0.52 | 0.55 | 0.56 | 0.58 | 0.6 (cutoff points) | 0.55 | 0.59 | 0.60 | 0.61 | 0.53 | 0.56 | 0.57 | 0.59 | 0.8 | 0.54 | 0.57 | 0.59 | 0.60 | 0.51 | 0.55 | 0.56 | 0.57 | 1.0 | 0.50 | 0.54 | 0.56 | 0.59 | 0.49 | 0.53 | 0.54 | 0.56 |
|
|