如何在uniapp中实现推荐系统和个性化推荐

// 用户与物品的评分矩阵const userItemMatrix = [  [5, 4, 0, 0, 1],  [0, 3, 1, 2, 0],  [1, 0, 3, 0, 4],  [0, 0, 4, 3, 5],  [2, 1, 0, 5, 0]];// 计算用户之间的相似度function getSimilarity(user1, user2) {  let similarity = 0;  let count = 0;  for (let i = 0; i  0 ? Math.sqrt(similarity / count) : 0;}// 获取与目标用户最相似的用户function getMostSimilarUser(targetUser, users) {  let maxSimilarity = 0;  let mostSimilarUser = null;  for (let user of users) {    const similarity = getSimilarity(targetUser, user);    if (similarity > maxSimilarity) {      maxSimilarity = similarity;      mostSimilarUser = user;    }  }  return mostSimilarUser;}// 获取推荐结果function getRecommendations(targetUser, users, items) {  const mostSimilarUser = getMostSimilarUser(targetUser, users);  const recommendations = [];  for (let i = 0; i  0) {      recommendations.push(items[i]);    }  }  return recommendations;}// 测试推荐结果const targetUser = [0, 0, 0, 0, 0];const users = [  [5, 4, 0, 0, 1],  [0, 3, 1, 2, 0],  [1, 0, 3, 0, 4],  [0, 0, 4, 3, 5],  [2, 1, 0, 5, 0]];const items = ['item1', 'item2', 'item3', 'item4', 'item5'];const recommendations = getRecommendations(targetUser, users, items);console.log(recommendations);