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Java实现哈希(相似度)算法,用于试题相似度,字符串相似度等场景
阅读量:117 次
发布时间:2019-02-27

本文共 4488 字,大约阅读时间需要 14 分钟。

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??????????Java?HashMap?????????????????????????????????

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  • ???????????????????????????51???????100101?101011?
  • ?????????????????2????????????
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  • ??????????????????????????????simhash???
  • ??????????????????????????????????????????


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    • ???????AND?XOR?????????????
    • ?????????????????????
  • ???????

    public class SimHashAlgorithm {    private String tokens;    private BigInteger strSimHash;    private int hashbits = 64;    public SimHashAlgorithm(String tokens) {        this.tokens = tokens;        this.strSimHash = computeSimHash(tokens);    }    private BigInteger computeSimHash(String tokens) {        tokens = cleanResume(tokens);        int[] v = new int[hashbits];        List
    termList = StandardTokenizer.segment(tokens); Map
    wordCount = new HashMap<>(); Map
    stopNatures = new HashMap<>(); stopNatures.put("w", ""); wordCount.put("n", 2); for (Term term : termList) { String word = term.word; String nature = term.nature.toString(); if (stopNatures.containsKey(nature)) continue; if (wordCount.containsKey(word)) { int count = wordCount.get(word); if (count > 5) continue; wordCount.put(word, count + 1); } else { wordCount.put(word, 1); } BigInteger t = hash(word); for (int i = 0; i < hashbits; i++) { BigInteger bitmask = BigInteger.ONE.shiftLeft(i); if (t.and(bitmask).signum() != 0) { v[i] += wordCount.get(word) * weightOfNature.getOrDefault(nature, 1); } else { v[i] -= wordCount.get(word) * weightOfNature.getOrDefault(nature, 1); } } } BigInteger fingerprint = BigInteger.ZERO; for (int i = 0; i < hashbits; i++) { if (v[i] > 0) { fingerprint = fingerprint.add(BigInteger.ONE.shiftLeft(i)); } } return fingerprint; } private BigInteger hash(String source) { if (source == null || source.isEmpty()) return BigInteger.ZERO; StringBuilder sb = new StringBuilder(); while (sb.length() < 64) { sb.append(source.charAt(0)); source = source.substring(1); } source = sb.toString(); char[] chars = source.toCharArray(); BigInteger x = BigInteger.valueOf((long) chars[0] << 7); BigInteger m = new BigInteger("1000003"); BigInteger mask = m.pow(hashbits).subtract(BigInteger.ONE); for (char c : chars) { BigInteger temp = BigInteger.valueOf((long) c); x = x.multiply(m).xor(temp).and(mask); } x = x.xor(BigInteger.valueOf(source.length())); return x.equals(BigInteger.valueOf(-1)) ? BigInteger.valueOf(-2) : x; } public int hammingDistance(SimHashAlgorithm other) { BigInteger m = BigInteger.ONE.shiftLeft(hashbits).subtract(BigInteger.ONE); BigInteger x = strSimHash.xor(other.strSimHash).and(m); int distance = 0; while (x.signum() != 0) { distance++; x = x.and(x.subtract(BigInteger.ONE)); } return distance; } public double getSemblance(SimHashAlgorithm s2) { int distance = hammingDistance(s2); return 1 - (distance / hashbits * 100); } public static String getPercentValue(double similarity) { NumberFormat fmt = NumberFormat.getPercentInstance(); fmt.setMaximumFractionDigits(2); return fmt.format(similarity); } public static void main(String[] args) { String[] str1 = {"?????", "1234567890"}; String[] str2 = {"??????", "1234567890"}; SimHashAlgorithm hash1 = new SimHashAlgorithm(str1[0] + str1[1]); SimHashAlgorithm hash2 = new SimHashAlgorithm(str2[0] + str2[1]); double similarity = hash1.getSemblance(hash2); System.out.println("?????" + getPercentValue(similarity) + "%"); }}

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    • ?????????????????67.19%
    • 1234567890?1234567890?????100%

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