可以使用字符串匹配算法来实现文章重复度比较。以下是一个Java语言实现的示例代码： ```java import.util.HashMap; import java.Map; public class ArticleSimilarity { public static double calculateSimilarity(String article, String article2) { Map<String, Integer> wordCounts1 = parseArticle(article1); Map, Integer> wordCounts2 = parseArticle(article2); double = 0; double denominator = 0; for ( word : wordCounts1()) { int count1 = word1.get(word); int count2 wordCounts2.getOrDefault(word, 0); numerator += count1 * count2; denominator += count1 * count1; } forString word : wordCounts2.keySet()) int count2 =Counts2.get(word); if (!wordCounts1.containsKey(word)) denominator += count2 * count2; } } if (denominator == 0) { return 0; } numerator / Math.sqrt(dominator); } private static Map, Integer> parseArticle(String article) Map<String, Integer wordCounts = new HashMap<>(); String words = article.toLowerCase().("\\W+"); (String word : words) { if (word.length() > 0) { wordCounts.put(word wordCounts.getOrDefault(word 0) + 1); } } return wordCounts; } public void main(String[] args { String article1 "This is a sample."; String article2 = "This is another article."; double similarity = calculateity(article1, article2); .out.println("Similarity: " + similarity); } ``` 该算法将两篇文章转换为单词计数的映射，然后计算它们之间的余弦相似度。余弦相似度值越接近1，表示两篇文章的重复度越高。这只是一个简单的示例，实际应用中可以根据需求做更多的处理和优化。 [2023-12-08 10:58:51 | AI写代码神器 | 1644点数解答]