The Power of Graph Theory in Recommendation Systems
Автор: Marian College Kuttikkanam Official
Загружено: 2025-02-16
Просмотров: 162
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Graph Theory in Recommendation Systems
Ever wondered how Netflix knows exactly what movie you’d love to watch next? Or how Amazon suggests products that feel tailor-made for you? It’s not magic—it’s 𝐆𝐫𝐚𝐩𝐡 𝐓𝐡𝐞𝐨𝐫𝐲! In
this video, I break down how Graph Theory plays a crucial role in 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, making platforms smarter, more personalized, and user-friendly.
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐋𝐞𝐚𝐫𝐧:
✅What recommendation systems are and how they work
✅The key challenges in making accurate recommendations
✅How Graph Theory improves recommendation accuracy
✅ Real-world applications in Netflix, Amazon, and Spotify
✅AI’s role in enhancing recommendation algorithms
𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐲: Discover how Netflix uses 𝐆𝐫𝐚𝐩𝐡-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐅𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠 to boost user engagement and retention!
𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:
I’m 𝐀𝐫𝐣𝐮𝐧 𝐓 𝐀𝐧𝐢𝐥, an MCA student at 𝐌𝐚𝐫𝐢𝐚𝐧 𝐂𝐨𝐥𝐥𝐞𝐠𝐞 𝐊𝐮𝐭𝐭𝐢𝐤𝐤𝐚𝐧𝐚𝐦 (𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬) with a passion for 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 and 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞. I love exploring how technology can solve real-world problems and improve user experiences.
𝐒𝐭𝐚𝐲 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝:
LinkedIn: / arjuntanil
Contact: [email protected]
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