| 1 | [Herald | 6.85% | |
| 2 | Interview] | 5.48% | |
| 3 | Seoul | 5.48% | |
| 4 | Life | 2.74% | |
| 5 | Korea | 2.74% | |
| 6 | Master | 1.37% | |
| 7 | Sok-yong | 1.37% | |
| 8 | Booker-shortlisted | 1.37% | |
| 9 | Museum’s | 1.37% | |
| 10 | Pearl | 1.37% | |
| 11 | Se-hwa | 1.37% | |
| 12 | National | 1.37% | |
| 13 | Gyechon | 1.37% | |
| 14 | Fu | 1.37% | |
| 15 | Ballet | 1.37% | |
| 16 | Hollywoods | 1.37% | |
| 17 | Monks | 1.37% | |
| 18 | Im | 1.37% | |
| 19 | Cheonggyecheon | 1.37% | |
| 20 | Chan-wook | 1.37% | |
| 21 | Sympathizer | 1.37% | |
| 22 | Yunchan | 1.37% | |
| 23 | Earth’ | 1.37% | |
| 24 | Venice | 1.37% | |
| 25 | ‘Following’ | 1.37% | |
| 26 | International | 1.37% | |
| 27 | Bae | 1.37% | |
| 28 | Mother | 1.37% | |
| 29 | Discover | 1.37% | |
| 30 | Driver | 1.37% | |
| 31 | Chopin | 1.37% | |
| 32 | ‘Goodbye | 1.37% | |
| 33 | Buddhas | 1.37% | |
| 34 | van | 1.37% | |
| 35 | Doo-na | 1.37% | |
| 36 | Hong | 1.37% | |
| 37 | Ben | 1.37% | |
| 38 | Lim | 1.37% | |
| 39 | Hwang | 1.37% | |
| 40 | Moon | 1.37% | |
| 41 | Galleries | 1.37% | |
| 42 | Scene] | 1.37% | |
| 43 | Traviata | 1.37% | |
| 44 | Oosten | 1.37% | |
| 45 | [Well-curated] | 1.37% | |
| 46 | Rebel | 1.37% | |
| 47 | Paris | 1.37% | |
| 48 | Lam | 1.37% | |
| 49 | Hangeul | 1.37% | |
| 50 | Biennale | 1.37% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||