From eb1b35b9f783e2b154671fddc8a1e57172242b7a Mon Sep 17 00:00:00 2001
From: mati <matiasbavera@gmail.com>
Date: Wed, 27 Sep 2017 16:37:40 -0400
Subject: [PATCH 1/2] Example

---
 src/example.py | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)
 create mode 100644 src/example.py

diff --git a/src/example.py b/src/example.py
new file mode 100644
index 0000000..8d34abc
--- /dev/null
+++ b/src/example.py
@@ -0,0 +1,30 @@
+import tool
+
+data = tool.loadData("/home/mati/github/pyCollaborativeFiltering/src/rating"
+                     ".csv")
+# data = tool.loadData("/home/changuk/data/MovieLens/movielens.dat")
+from recommender import UserBased
+
+ubcf = UserBased()
+ubcf.loadData(data)
+import similarity
+
+simMeasure = similarity.cosine_intersection
+#set numbers of users with recommendations to display
+# display = 0 -> all 
+display = 10
+c=0
+if (display == 0):
+    for user in data.keys():
+            recommendation = ubcf.Recommendation(user, simMeasure=simMeasure,
+                                            nNeighbors=30)
+            print('usuario: %s , recomendacion %s',str(user), str(recommendation))
+else:
+    for user in data.keys():
+            c+=1
+            if c != display:
+                recommendation = ubcf.Recommendation(user, simMeasure=simMeasure,
+                                                nNeighbors=30)
+                print('usuario: %s , recomendacion %s',str(user), str(recommendation))
+            else:
+                break
\ No newline at end of file

From 815fd0513d83e18588a22e9b57a5260f8e9f60b5 Mon Sep 17 00:00:00 2001
From: mati <matiasbavera@gmail.com>
Date: Wed, 27 Sep 2017 16:38:48 -0400
Subject: [PATCH 2/2] Example

---
 src/example.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/src/example.py b/src/example.py
index 8d34abc..8ec4483 100644
--- a/src/example.py
+++ b/src/example.py
@@ -1,8 +1,6 @@
 import tool
 
-data = tool.loadData("/home/mati/github/pyCollaborativeFiltering/src/rating"
-                     ".csv")
-# data = tool.loadData("/home/changuk/data/MovieLens/movielens.dat")
+data = tool.loadData("/home/changuk/data/MovieLens/movielens.dat")
 from recommender import UserBased
 
 ubcf = UserBased()