Discover your next favorite anime
Despite its strong performance, I couldn't find any anime recommendation websites using a BERT-based recommender system. This recommendation system uses a BERT transformer specifically for anime recommendations. Unlike other systems, it takes only users' favorite anime titles as input, rather than ratings. I believe the BERT model handled the recommendation task very well, including effectively addressing the cold start problem by generating meaningful recommendations even with limited user data.
AnimeRecbert was built with the mission of making anime discovery smarter, more personal, and more enjoyable. Instead of relying on generic ratings or tags, it uses the power of modern NLP — specifically BERT — to understand your favorite titles and suggest anime that match your unique preferences. Our goal is to reimagine recommendation systems by combining deep language understanding with intuitive user interaction. Whether you're a seasoned anime fan or just getting started, AnimeRecbert helps you find your next favorite show effortlessly.