garrylaly / bettersocial-test Goto Github PK

- profileId: number
- profilePhoto: string
- profileName: string
- followedBy: [
      {
         profileId: number
         profileName: string
      }
   ]

const suggest_users_to_follow = (user)
suggested_users = []

    # Find users with similar interests
    for profile, interests in user_profiles.items():
        if profile != user and len(set(interests) & set(user_profiles[user])) > 0:
            suggested_users.append(profile)

    # Remove already followed users
    suggested_users = [u for u in suggested_users if u not in user_connections[user]]

    # Rank suggested users based on some criteria (e.g., common interests, followers, engagement)
    suggested_users = rank_users(suggested_users)

    # Return a list of suggested users
    return suggested_users

const rank_users = (users)
ranked_users = []

for user in users:
   common_interests = len(set(user_profiles[user]) & set(user_profiles[current_user]))
   follower_count = len(user_connections[user])

   # Calculate a score based on common interests and followers
   # You can adjust the weights for each factor as needed
   score = (common_interests * 0.6) + (follower_count * 0.4)

   ranked_users.append((user, score))

# Sort users by their scores in descending order
ranked_users.sort(key=lambda x: x[1], reverse=True)

# Extract the sorted users from the list of tuples
sorted_users = [user[0] for user in ranked_users]
return users

current_user = "user1"
suggested_users = suggest_users_to_follow(current_user)
print("Suggested users to follow for", current_user, ":", suggested_users)