Added freshness and dont recommend users posts

app.py

@@ -102,7 +102,7 @@ def compute_score(sim_score: float, popularity: float, freshness: float) -> floa
     - Popularity is log-transformed.
     - Freshness is combined linearly.
     """
-    return 0.6 * (sim_score ** 2) + 0.3 * np.log1p(popularity) + 0.1 * freshness
+    return 0.4 * (sim_score ** 2) + 0.3 * np.log1p(popularity) + 0.3 * freshness
 
 
 class Recommender:
@@ -272,14 +272,15 @@ class Recommender:
         now = datetime.now(TIMEZONE)
 
         for post_id, feature in post_features.items():
-            if post_id in seen_posts:
+            post = post_metadata[post_id]
+            if post_id in seen_posts or post.get("author") == user_id:
                 continue
 
             sim_score = np.dot(user_profile, feature) if np.any(
                 user_profile) else 0
             time_diff = now - post_metadata[post_id]['created_at']
-            # Freshness is defined as an exponential decay based on weeks old
-            freshness = math.exp(-time_diff.days / 7.0)
+            # Freshness is defined as an exponential decay based on three days old
+            freshness = math.exp(-time_diff.days / 3.0)
             score = compute_score(
                 sim_score, self.post_popularity[post_id], freshness)
             # Adding a small random noise for exploration