Research Article
Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph
Table 1
Scoring error of ten users.
| User number | Book number | User rating | Forecast score | Error |
| 18 | 6 | 8 | 8.103 | 1.29% | 65 | 33 | 9 | 8.856 | 1.6% | 79 | 58 | 9 | 9.124 | 1.38% | 101 | 74 | 7 | 7.108 | 1.54% | 134 | 91 | 6 | 5.923 | 1.28% | 289 | 112 | 8 | 7.841 | 1.99% | 289 | 153 | 7 | 7.095 | 1.36% | 412 | 178 | 7 | 6.904 | 1.37% | 503 | 178 | 9 | 8.927 | 0.81% | 791 | 239 | 6 | 5.941 | 0.98% | 925 | 301 | 8 | 8.092 | 1.15% |
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