INNER CODE UNIT · Python

matches

LiuMengxuan04/shushu-internship-tool · skills/shushu-internship-tool/scripts/shushu_internship_tool/candidate_score.py:249

    matches = _ordered_intersection(sorted(positive_tags - user_avoid_tags), prefer_tags)
    mismatches = _ordered_intersection(sorted(project_avoid_tags), user_avoid_tags)

    points = min(USER_PREFERENCE_MAX_SCORE, len(matches) * 2) - min(4, len(mismatches) * 2)

    notes: list[str] = []
    if matches:
        notes.append("匹配用户偏好：" + ", ".join(matches[:8]))
    else:
        notes.append("未命中显式用户偏好标签")
    if mismatches:
        notes.append("命中用户避雷项：" + ", ".join(mismatches[:8]))
    notes.append(f"user_preference={points}/{USER_PREFERENCE_MAX_SCORE}")
    return points, matches, mismatches, notes


def normalize_score(raw_score: float, max_raw_score: float) -> float:
    if max_raw_score <= 0:

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