From the course: Building Recommender Systems with Machine Learning and AI

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From the course: Building Recommender Systems with Machine Learning and AI

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- Congratulations for making it to the end. Recommender systems are a broad area that sometimes involve some challenging math algorithms and concepts. But remember it's the simpler approaches that tend to work best in my experience. With the advent of deep learning and the resurgence in AI, recommender systems will continue to evolve quickly and you need to stay on top of the latest developments. ACM's RecSys Conference is a great way to stay on top of the latest research in the field. Even if you can't afford to attend in person, it's pretty cheap to join the association for computing machinery and just purchase access to the publications of the SIGKDD group. That's the special interest group for knowledge discovery and datamining and that gives you access to the publications related to recommendation systems online including the proceedings from every RecSys Conference that ever happened. It's only $25 per year as of now. If you'd like to learn more about the oldie but goodie…

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