Build Your own Recommendation Engine-Netflix Demystified. An intro to recommender systems with live implementation.
What should I watch this evening?
How often you feel after a hectic day at work that what should I watch next? As for me — yes, and more than once. From Netflix to Prime Video, building robust movie recommendation systems is extremely important, given the huge demand for personalized content of modern consumers.
Once at home, sitting in front of the TV seems like a fruitless exercise with no control and no remembrance of the content we consumed. We tend to prefer an intelligent platform which understands our tastes and preferences and not just run on autopilot.
I have given a shot to building the recommendation engine based on my professional experience at Hotstar and binging experience on Netflix. I would consider this exercise fruitful if it can make you watch at least one movie based on its suggestions.
Recommendation engine Interface working
Allow me to explain the basic logic of a recommendation engine before building one ourselves. There are broadly 3 algorithms which power a recco engine:
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In this article we learn about recommender systems by building our own movie recommendation with an open source dataset.
Hello everyone! I wanna share about movies recommeder system with one of modeling its collaborative filtering. Before we go to our dataset, let’s see why we need recommender system?
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