互联网企业知识库搭建指南：产品迭代文档、运营方法论的沉淀与复用实操

// 文档元数据示例
const docTemplate = {
  project: '项目名称',
  version: '1.0.0',
  createdDate: '2023-12-01',
  author: '创建者',
  lastUpdated: '最后更新日期',
  sections: [
    '需求背景',
    '功能说明', 
    '技术方案',
    '测试用例',
    '上线总结'
  ]
};

// 自动生成文档索引
function generateDocIndex(docs) {
  return docs.map(doc => ({
    id: doc.id,
    title: doc.title,
    keywords: doc.keywords,
    lastModified: doc.updatedAt
  }));
}

-- 知识库数据表结构设计
CREATE TABLE knowledge_base (
    id INT PRIMARY KEY AUTO_INCREMENT,
    title VARCHAR(255) NOT NULL,
    content TEXT,
    category ENUM('product', 'operation', 'technical'),
    tags JSON,
    author_id INT,
    version VARCHAR(20),
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    view_count INT DEFAULT 0,
    like_count INT DEFAULT 0,
    is_approved BOOLEAN DEFAULT FALSE
);

-- 创建全文检索索引
CREATE FULLTEXT INDEX idx_content_search ON knowledge_base(title, content);

// 知识推荐算法示例
public class KnowledgeRecommender
{
    public List GetRecommendations(int userId, int limit = 10)
    {
        // 基于用户历史行为计算相似度
        var userBehavior = GetUserBehavior(userId);
        var similarUsers = FindSimilarUsers(userBehavior);
        
        // 结合内容特征进行混合推荐
        var recommendations = from item in knowledgeBase
                             where !userBehavior.ViewedItems.Contains(item.Id)
                             let score = CalculateRecommendationScore(item, similarUsers)
                             orderby score descending
                             select item;
        
        return recommendations.Take(limit).ToList();
    }
    
    private double CalculateRecommendationScore(KnowledgeItem item, List similarUsers)
    {
        // 计算基于内容和协同过滤的综合得分
        double contentScore = CalculateContentSimilarity(item);
        double collaborativeScore = CalculateCollaborativeFilteringScore(item, similarUsers);
        
        return 0.6 * contentScore + 0.4 * collaborativeScore;
    }
}