BS1046-基于hadoop+大数据分析实现校园图书推荐系统

public static double getSimilarity(String doc1, String doc2) {
        if (doc1 != null && doc1.trim().length() > 0 && doc2 != null && doc2.trim().length() > 0) {
            Map<Integer, int[]> AlgorithmMap = new HashMap<Integer, int[]>();
            //将两个字符串中的中文字符以及出现的总数封装到，AlgorithmMap中
            for (int i = 0; i < doc1.length(); i++) {
                char d1 = doc1.charAt(i);
                if (isHanZi(d1)) {//标点和数字不处理
                    int charIndex = getGB2312Id(d1);//保存字符对应的GB2312编码
                    if (charIndex != -1) {
                        int[] fq = AlgorithmMap.get(charIndex);
                        if (fq != null && fq.length == 2) {
                            fq[0]++;//已有该字符，加1
                        } else {
                            fq = new int[2];
                            fq[0] = 1;
                            fq[1] = 0;
                            AlgorithmMap.put(charIndex, fq);//新增字符入map
                        }
                    }
                }
            }
            for (int i = 0; i < doc2.length(); i++) {
                char d2 = doc2.charAt(i);
                if (isHanZi(d2)) {
                    int charIndex = getGB2312Id(d2);
                    if (charIndex != -1) {
                        int[] fq = AlgorithmMap.get(charIndex);
                        if (fq != null && fq.length == 2) {
                            fq[1]++;
                        } else {
                            fq = new int[2];
                            fq[0] = 0;
                            fq[1] = 1;
                            AlgorithmMap.put(charIndex, fq);
                        }
                    }
                }
            }
            Iterator<Integer> iterator = AlgorithmMap.keySet().iterator();
            double sqdoc1 = 0;
            double sqdoc2 = 0;
            double denominator = 0;
            while (iterator.hasNext()) {
                int[] c = AlgorithmMap.get(iterator.next());
                denominator += c[0] * c[1];
                sqdoc1 += c[0] * c[0];
                sqdoc2 += c[1] * c[1];
            }
            double v = denominator / Math.sqrt(sqdoc1 * sqdoc2);//余弦计算
            v = Double.isNaN(v) ? 0d : v;
            return v;
        } else {
            throw new NullPointerException(" the Document is null or have not cahrs!!");
        }
    }
    public static boolean isHanZi(char ch) {
        // 判断是否汉字
        return (ch >= 0x4E00 && ch <= 0x9FA5);
        /*if (ch >= 0x4E00 && ch <= 0x9FA5) {//汉字
            return true;
        }else{
            String str = "" + ch;
            boolean isNum = str.matches("[0-9]+");
            return isNum;
        }*/
        /*if(Character.isLetterOrDigit(ch)){
            String str = "" + ch;
            if (str.matches("[0-9a-zA-Z\\u4e00-\\u9fa5]+")){//非乱码
                return true;
            }else return false;
        }else return false;*/
    }
    /**
     * 根据输入的Unicode字符，获取它的GB2312编码或者ascii编码，
     *
     * @param ch 输入的GB2312中文字符或者ASCII字符(128个)
     * @return ch在GB2312中的位置，-1表示该字符不认识
     */
    public static short getGB2312Id(char ch) {
        try {
            byte[] buffer = Character.toString(ch).getBytes("GB2312");
            if (buffer.length != 2) {
                // 正常情况下buffer应该是两个字节，否则说明ch不属于GB2312编码，故返回'?'，此时说明不认识该字符
                return -1;
            }
            int b0 = (int) (buffer[0] & 0x0FF) - 161; // 编码从A1开始，因此减去0xA1=161
            int b1 = (int) (buffer[1] & 0x0FF) - 161;
            return (short) (b0 * 94 + b1);// 第一个字符和最后一个字符没有汉字，因此每个区只收16*6-2=94个汉字
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return -1;
    }