Change used params

app.py

@@ -5,16 +5,9 @@ from easeBased_model import *
 from contentBased_model import *
 
 
-
 if "user_preferences" not in st.session_state:
     st.session_state["user_preferences"] = {}
 
-# if "user_titles" not in st.session_state:
-#     st.session_state["user_titles"] = []
-
-# if "26k_titles" not in st.session_state:
-#     st.session_state['26k_titles'] = data
-
 data = pd.read_pickle("data/list_of_all_titles.pkl")
 ease_ids = list(
     pd.read_pickle("data/dict_of_ease_ids.pkl").keys())
@@ -40,26 +33,14 @@ def games_recomm(preferences_id):
         ease_df = pred_df[pred_df['app_id'].isin(ease_ids)]
 
         if ease_df.empty:
-            res = cbf_model(pred_df=pred_df, k=20)['app_id'].tolist()
+            res = cbf_model(pred_df=pred_df, k=10)['app_id'].tolist()
         else:
             res_cbf = cbf_model(pred_df=pred_df, k=100)
             res_ease = ease_model(pred_df=ease_df, k=100)
             res = combine_hybrid_result(res_ease, res_cbf)
-        
-    # st.write(res)
-    # st.write("Result of EASE:")
-    # st.write(res_ease)
-    # st.markdown("<br>", unsafe_allow_html=True)
-
-    # st.write("Result of CBF:")
-    # st.write(res_cbf)
-    # st.markdown("<br>", unsafe_allow_html=True)
-
-    # st.write("Result of Hybrid:")
-    # st.write(res)
 
     if type(res) == ValueError:
-        st.error("Recommendation failed. Please select with at least 3 games title.")
+        st.error("Recommendation failed. Please select with at least 2 games title.")
         
         return
     else:
@@ -102,7 +83,7 @@ def home_page():
         st.markdown("""
             Mohon untuk memasukkan input yang valid, yaitu:
             
-            - Minimal 3 judul game yang dimasukkan sebagai input sistem
+            - Minimal 2 judul game yang dimasukkan sebagai input sistem
             - Preferensi penilaian game yang dimasukkan harus memiliki setidaknya 1 rating positif
 
             <br>
@@ -148,7 +129,6 @@ def result_page():
         st.error('Please input preferences titles and run "Get recommendation"')
     else:
         st.success(f'Top {len(st.session_state["rs"])}')
-        # st.session_state
 
         user_res = generate_res_gamebox(ids=st.session_state['rs'])
 

contentBased_model.py

@@ -9,7 +9,7 @@ class KnnCBF:
                 user_col='user_id', 
                 item_col='app_id',
                 score_col='is_recommended',
-                nearest_k=3,
+                nearest_k=2,
                 metric="cosine"):
         """
         Args:
@@ -59,7 +59,7 @@ class KnnCBF:
     
     def predict_active(self, pred_df, 
                     k=10,
-                    weight_hybrid=.3,
+                    weight_hybrid=.2,
                     hybrid_model=True):
         
         act_df = pred_df.merge(self.item_lookup, on=[self.item_col], sort=False)

easeBased_model.py

@@ -8,7 +8,7 @@ class EASE:
             user_col='user_id', 
             item_col='app_id', 
             score_col='is_recommended',
-            reg=250.):
+            reg=150.):
         """
             train: (DataFrame) data of training set
             user_col: (String) column name of users column
@@ -52,7 +52,7 @@ class EASE:
     def predict_active(self, pred_df, 
                     weight_mx,
                     k=10, 
-                    weight_lambda=0.7,
+                    weight_lambda=0.8,
                     hybrid_model=True,
                     remove_owned=True):
         """
@@ -111,8 +111,7 @@ class EASE:
             'app_id' : escaped_id,
             'predicted_score' : escaped_score
         })
-        # print(pred_result)
-
+        
         return pred_result
     
 def ease_model(pred_df, k=10):

func.py

@@ -66,7 +66,7 @@ def combine_hybrid_result(res_ease, res_cbf):
         return res_final.head(10).index.tolist()
 
     except:
-        st.error("Recommendation failed. Please select with at least 3 games title.")
+        st.error("Recommendation failed. Please select with at least 2 games title.")
 
     # for title in titles_list:
     #     # url = f"https://store.steampowered.com/app/"

requirements.txt

@@ -1,6 +1,6 @@
-pandas
-torch
-scikit-learn
-requests
-streamlit
+pandas==2.1.1
+torch==2.1.0+cpu
+scikit-learn==1.3.1
+requests==2.31.0
+streamlit==1.27.1
 streamlit_option_menu