diff --git a/bin/Curve.py b/bin/Curve.py
index 641480eb..0a533a35 100755
--- a/bin/Curve.py
+++ b/bin/Curve.py
@@ -55,7 +55,7 @@ def check_if_tracked_term(term, path):
     if term in TrackedTermsSet_Name:
         #add_paste to tracked_word_set
         set_name = "tracked_" + term
-        server.sadd(set_name, path)
+        server_term.sadd(set_name, path)
         p.populate_set_out("New Term added", 'CurveManageTopSets')
 
 
@@ -113,7 +113,7 @@ if __name__ == "__main__":
             temp = filename.split('/')
             date = temp[-4] + temp[-3] + temp[-2]
             timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0))
-            top_termFreq_setName_day[0] += str(timestamp)
+            curr_set = top_termFreq_setName_day[0] + str(timestamp)
 
 
             low_word = word.lower()
@@ -123,8 +123,8 @@ if __name__ == "__main__":
 
             # Update redis
             curr_word_value = int(server_term.hincrby(timestamp, low_word, int(score)))
-            if low_word not in server.smembers(BlackListTermsSet_Name):
-                server.zincrby(top_termFreq_setName_day[0], int(score), low_word)
+            if low_word not in server_term.smembers(BlackListTermsSet_Name):
+                server_term.zincrby(curr_set, low_word, float(score))
             
             #Add more info for tracked terms
             check_if_tracked_term(low_word, filename)
diff --git a/bin/Curve_manage_top_sets.py b/bin/Curve_manage_top_sets.py
index 167aa261..92d63b33 100755
--- a/bin/Curve_manage_top_sets.py
+++ b/bin/Curve_manage_top_sets.py
@@ -52,15 +52,14 @@ def manage_top_set():
     # Retreive top data (2*max_card) from days sets
     for timestamp in range(startDate, startDate - top_termFreq_setName_month[1]*oneDay, -oneDay):
         curr_set = top_termFreq_setName_day[0] + str(timestamp)
-        print top_termFreq_setName_day[0]
-        array_top_day = server_term.zrangebyscore(curr_set, '-inf', '+inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
+        array_top_day = server_term.zrevrangebyscore(curr_set, '+inf', '-inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
 
-        print array_top_day
         for word, value in array_top_day:
-            if word in dico.keys():
-                dico[word] += value
-            else:
-                dico[word] = value
+            if word not in server_term.smembers(BlackListTermsSet_Name):
+                if word in dico.keys():
+                    dico[word] += value
+                else:
+                    dico[word] = value
 
         if timestamp == startDate - num_day_week*oneDay:
             dico_week = copy.deepcopy(dico)
@@ -78,9 +77,6 @@ def manage_top_set():
     array_week.sort(key=lambda tup: -tup[1])
     array_week = array_week[0:20]
 
-    print array_month
-    print array_week
-
     # suppress every terms in top sets
     for curr_set, curr_num_day in top_termFreq_set_array[1:3]:
         for w in server_term.zrange(curr_set, 0, -1):
diff --git a/var/www/Flask_server.py b/var/www/Flask_server.py
index d605c118..07001f9b 100755
--- a/var/www/Flask_server.py
+++ b/var/www/Flask_server.py
@@ -760,7 +760,7 @@ def terms_plot_top_data():
         if the_set == "TopTermFreq_set_day":
             the_set += "_" + str(today_timestamp)
 
-        for term, tot_value in r_serv_term.zrangebyscore(the_set, '-inf', '+inf', withscores=True, start=0, num=20):
+        for term, tot_value in r_serv_term.zrevrangebyscore(the_set, '+inf', '-inf', withscores=True, start=0, num=20):
             value_range = []
             for timestamp in range(today_timestamp, today_timestamp - num_day*oneDay, -oneDay):
                 value = r_serv_term.hget(timestamp, term)