Discuz 환경에서 커뮤니티 콘텐츠를 정확하게 푸시하는 방법은 무엇입니까?

<span class="tag">科技</span>
<span class="tag">数码</span>
<span class="tag">生活</span>

# 用户偏好矩阵
user_preference = {
    'user1': {
        'tag1': 1,
        'tag2': 0,
        'tag3': 1
    },
    'user2': {
        'tag1': 0,
        'tag2': 1,
        'tag3': 1
    }
}

# 计算用户之间的相似度
def calculate_similarity(user1, user2):
    common_tags = [tag for tag in user1 if tag in user2]
    if len(common_tags) == 0:
        return 0
    numerator = sum(user1[tag] * user2[tag] for tag in common_tags)
    denominator = (sum(user1[tag] ** 2 for tag in user1) * sum(user2[tag] ** 2 for tag in user2)) ** 0.5
    return numerator / denominator

# 获取相似用户的推荐内容
def get_recommendations(user_preference, user_id):
    recommendations = {}
    for user in user_preference:
        if user != user_id:
            similarity = calculate_similarity(user_preference[user_id], user_preference[user])
            for tag, score in user_preference[user].items():
                if tag not in user_preference[user_id] or user_preference[user_id][tag] == 0:
                    recommendations[tag] = recommendations.get(tag, 0) + score * similarity
    return recommendations

# 示例调用
user_id = 'user1'
recommendations = get_recommendations(user_preference, user_id)
print(recommendations)

// 根据用户ID获取推荐内容
function get_recommendations_by_user($uid) {
    // 调用推荐算法获取推荐内容
    $recommendations = get_recommendations($user_preference, $uid);
    // 将推荐内容保存到数据库或缓存
    // 返回推荐内容数组
    return $recommendations;
}

// 将推荐内容展示在页面上
function display_recommendations($uid) {
    $recommendations = get_recommendations_by_user($uid);
    foreach($recommendations as $tag => $score) {
        echo '<a href="/tag/'.$tag.'">'.$tag.'</a>';
    }
}

// 示例调用
$uid = 123;
display_recommendations($uid);