{"id":146790,"date":"2025-09-08T17:45:12","date_gmt":"2025-09-08T12:15:12","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=146790"},"modified":"2025-09-08T17:45:12","modified_gmt":"2025-09-08T12:15:12","slug":"friend-recommendation-system-using-dsa-python","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/friend-recommendation-system-using-dsa-python\/","title":{"rendered":"DSA Python Project &#8211; Friend Recommendation System"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Friend Recommendation System in Social Media using graphs \r\n\r\n# System that recommends new friends to users in a \r\n# social network by analyzing their mutual friends \r\n#  Features\r\n#   1. Add new user \r\n#   2. Create Friendship \r\n#   3. Display Friendship on Social Network\r\n#    4. Friend Recommendation\r\n\r\nclass FriendRecommendationSystem:\r\n    def __init__(self):\r\n        self.max_users = 20\r\n        self.users = []\r\n        self.graph = [[0 for _ in range(self.max_users)] for _ in range(self.max_users)]\r\n\r\n    def add_user(self, name):\r\n        if len(self.users) &gt;= self.max_users:\r\n            print(\" Maximum user limit reached.\")\r\n            return\r\n        if name in self.users:\r\n            print(\" User already exists.\")\r\n            return\r\n        self.users.append(name)\r\n        print(f\" User added: {name}\")\r\n\r\n    def find_index(self, name):\r\n        try:\r\n            return self.users.index(name)\r\n        except ValueError:\r\n            return -1\r\n\r\n    def add_friendship(self, name1, name2):\r\n        i = self.find_index(name1)\r\n        j = self.find_index(name2)\r\n        if i == -1 or j == -1:\r\n            print(\" One or both users not found.\")\r\n            return\r\n        self.graph[i][j] = 1\r\n        self.graph[j][i] = 1\r\n        print(f\" Friendship added between {name1} and {name2}\")\r\n\r\n    def show_friends(self):\r\n        print(\"\\n-------- Friend Lists ----------\")\r\n        for i in range(len(self.users)):\r\n            print(f\"{self.users[i]} -&gt; \", end='')\r\n            for j in range(len(self.users)):\r\n                if self.graph[i][j] == 1:\r\n                    print(self.users[j], end='  ')\r\n            print()\r\n\r\n    def recommend_friends(self, name):\r\n        idx = self.find_index(name)\r\n        if idx == -1:\r\n            print(\" User not found.\")\r\n            return\r\n\r\n        recommended = [0] * self.max_users\r\n\r\n        for i in range(len(self.users)):\r\n            if self.graph[idx][i] == 1:\r\n                for j in range(len(self.users)):\r\n                    if self.graph[i][j] == 1 and j != idx and self.graph[idx][j] == 0:\r\n                        recommended[j] += 1\r\n\r\n        print(f\"\\n Friend Recommendations for {name}:\")\r\n        found = False\r\n        for i in range(len(self.users)):\r\n            if recommended[i] &gt; 0:\r\n                print(f\" - {self.users[i]} (Mutual Friends: {recommended[i]})\")\r\n                found = True\r\n\r\n        if not found:\r\n            print(\"No recommendations at this time.\")\r\n\r\n    def menu(self):\r\n        while True:\r\n            print(\"\\n-----------Friend Recommendation System ---------------\")\r\n            print(\"1. Add User\")\r\n            print(\"2. Add Friendship\")\r\n            print(\"3. Show Friends\")\r\n            print(\"4. Recommend Friends\")\r\n            print(\"5. Exit\")\r\n            print(\"-------------------------------------------------------\")\r\n            choice = input(\"Enter Your Choice: \")\r\n\r\n            if choice == '1':\r\n                name = input(\"Enter user name: \")\r\n                self.add_user(name)\r\n\r\n            elif choice == '2':\r\n                name1 = input(\"Enter first user name: \")\r\n                name2 = input(\"Enter second user name: \")\r\n                self.add_friendship(name1, name2)\r\n\r\n            elif choice == '3':\r\n                self.show_friends()\r\n\r\n            elif choice == '4':\r\n                name = input(\"Enter your name: \")\r\n                self.recommend_friends(name)\r\n\r\n            elif choice == '5':\r\n                print(\"Exiting...\")\r\n                break\r\n\r\n            else:\r\n                print(\" Invalid choice. Try again.\")\r\n\r\n# Run the program\r\nif __name__ == \"__main__\":\r\n    system = FriendRecommendationSystem()\r\n    system.menu()<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Friend Recommendation System in Social Media using graphs # System that recommends new friends to users in a # social network by analyzing their mutual friends # Features # 1. Add&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32847],"tags":[32853,35229,32922,32923,35230,34829,35228,35231,35227],"class_list":["post-146790","post","type-post","status-publish","format-standard","hentry","category-dsa-python-tutorials","tag-dsa-python","tag-dsa-python-friend-recommendation-system-project","tag-dsa-python-practical","tag-dsa-python-program","tag-dsa-python-program-on-friend-recommendation-system","tag-dsa-python-project","tag-friend-recommendation-system","tag-friend-recommendation-system-project","tag-friend-recommendation-system-using-dsa-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DSA Python Project - Friend Recommendation System - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/friend-recommendation-system-using-dsa-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DSA Python Project - Friend Recommendation System - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 # Friend Recommendation System in Social Media using graphs # System that recommends new friends to users in a # social network by analyzing their mutual friends # Features # 1. 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