A simple anime recommendation system based on ratings and genre.
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Updated
Sep 21, 2020 - Jupyter Notebook
A simple anime recommendation system based on ratings and genre.
Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi
中文优先的语义动漫推荐 Codex Skill 和实验性 TypeScript CLI,优先参考 Bangumi/AniList 等高质量数据源。
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A content-based anime recommendation system uses cosine similarity to recommend animes.
anime-recommendation-system is an academic assignment on data mining tasks that can offer anime to people based on their interests. Also in this task, clustering and frequent patterns have been used.
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Content-based anime recommendation system using TF-IDF and cosine similarity with rating-based weighting and similarity optimization.
A local-first anime discovery engine with explainable rankings, mood discovery, head-to-head comparisons, catalog exploration, and resilient artwork enrichment. Your next anime, ranked with reasons.
My first recommendation systems.
Web demo code of AnimeRecBert repo
AI-driven anime recommender: learns your taste from your watch history (Jellyfin) + AniList tags, then auto-recommends anime you'll like. 让 AI 按你的观看口味自动推荐动漫。Companion to quark-tracker.
AnimeMate - Tinder-style anime, manga & light novel recommendation app for Android. Swipe-to-discover powered by MyAnimeList API v2. Personalized MAL recommendations, watchlist sync, 74 genre filters, Material Design 3.
Modern React, Tailwind UI for showcasing personalized anime/movie recommendations
AI-Powered Anime Recommendation System using NLP, TF-IDF, Cosine Similarity, and Streamlit.
Your next favorite Anime is just a click away
An anime recommendation system
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AI Anime Recommender is a Generative AI–powered recommendation system that suggests anime based on user preferences using semantic embeddings and LLM reasoning. Built with Groq, Hugging Face embeddings, LangChain, and ChromaDB, deployed on Kubernetes (Minikube on GCP VM) with monitoring via Grafana Cloud.
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