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<!DOCTYPE html>
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<html lang="ko"><head><meta charset="utf-8"><title>첨부 2 — 키워드 매칭 + 한계</title>
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/* V1 매칭 상세 (ATTACH_01) 전용 */
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</style></head><body><h1>첨부 2 — 키워드 매칭 결과 + 한계</h1><div class="meta-bar">MDX 섹션별 추출 키워드 × 32 프레임 키워드 매칭. 결과 + 2~3순위의 한계 / BEPs 밖 콘텐츠 한계.</div><h2>매칭 공식</h2><table><thead><tr><th style="width:30%">신호</th><th style="width:50%">의미</th><th style="width:20%">가중치</th></tr></thead><tbody><tr><td>단독 대표 키워드</td><td>특정 프레임을 혼자서도 강하게 가리키는 키워드 매칭</td><td><code>0.30</code></td></tr><tr><td>세트 키워드 묶음</td><td>프레임 원문 한 줄에서 함께 등장하는 키워드 조합 매칭</td><td><code>0.50</code></td></tr><tr><td>연관 키워드</td><td>참고 키워드 겹침 정도</td><td><code>0.20</code></td></tr></tbody></table><h2>TARGET 4 섹션 결과</h2><div class="avoid-break mdx-card"><div class="mdx-title">01-2 · 2. 용어간 상호관계</div><div style="font-size:8.5pt;color:#475569">1위 점수 <code>0.937</code> <span style="color:#065f46;font-weight:700">[강함]</span> · 1-2위 격차 <code>0.545</code></div><div class="flex-grid" style="margin-top:3pt"><div class="flex-row"><div class="frame-cell flex-cell"><div class="answer-box"><img src="data:image/png;base64,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 truncated
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