diff --git a/s8.py b/s8.py
new file mode 100644
index 0000000..c87ed1e
--- /dev/null
+++ b/s8.py
@@ -0,0 +1,83 @@
+# -*- coding:utf-8 -*-
+'''
+Step 7
+'''
+#!/usr/bin/env python
+from __future__ import print_function
+from base import create_csv, TARGET_DIR, MODEL_LIST, RAW_DIR
+import os
+import csv
+
+
+COMPARSION_PAIR = [
+    (0, 0), (1, 1), (4, 2), (5, 3),
+    (8, 4), (10, 5), (11, 6), (13, 7),
+    (15, 8), (16, 9), (17, 10), (19, 11),
+    (20, 12), (22, 13), (25, 14),
+    (27, 15), (28, 16), (29, 17), (31, 18),
+]
+
+
+def get_test_data(m):
+    if not m:
+        return []
+    result = []
+    lo_list = []
+    fpath = os.path.join(RAW_DIR, 'LO_TestData.csv')
+    with open(fpath, 'rb') as f:
+        rows = csv.reader(f)
+        rows.next()
+        for r in rows:
+            if r[1] != m.upper():
+                continue
+            result.append(r)
+            lo_list.append(r[0])
+    return (lo_list, result)
+
+
+def get_ro_data(m, suffix):
+    if not m or not suffix:
+        return []
+    result = []
+    fname = '%s-%s.csv' % (m, suffix)
+    fpath = os.path.join(TARGET_DIR, 'part7', fname)
+    with open(fpath, 'rb') as f:
+        rows = csv.reader(f)
+        for r in rows:
+            result.append(r)
+    return result
+
+
+def get_similarity_count(l, r):
+    cnt = 0
+    for (x, y) in COMPARSION_PAIR:
+        if l[x] == r[y]:
+            cnt += 1
+        elif r[y] == 'Y/N' and l[x] in ('Y', 'N'):
+            cnt += 1
+    return cnt
+
+
+def middleman(ls, rs):
+    if not len(ls):
+        return ls
+    result = []
+    for lo in ls:
+        data = lo[:]
+        for ro in rs:
+            sim_count = get_similarity_count(lo[:], ro)
+            data.append(sim_count)
+        result.append(data)
+    return result
+
+
+def main():
+    for m in MODEL_LIST:
+        l_list, lo_data = get_test_data(m)
+        for i in '1234':
+            ros = get_ro_data(m, i)
+            result = middleman(lo_data, ros)            
+            output_name = '%s-%s.csv' % (m, i)
+            create_csv(output_name, result, directory='part8')
+
+main()