Open-source FastAPI recommendation engine for books • backend architecture • data handling • scalable systems
Java Spring Boot RAG & hybrid search system for graduation projects: Elasticsearch BM25, BGE-M3 vector search, reranker, evidence-grounded QA, book recommendation, Vue 3, offline evaluation.
A full-stack BookStore mobile application built with React Native, TypeScript, REST API, and JWT authentication.
NovelNudge is a book recommendation engine that embeds titles, descriptions, authors, and genres using SentenceTransformers. It combines these vectors and ranks similar books with cosine similarity and fuzzy title matching.
📚 AI-Powered English Book Recommender — Adaptive Bayesian vocabulary estimation, matching books with 80%+ coverage for Chinese learners
Hybrid book recommendation system using NLP (TF-IDF, cosine similarity) and collaborative filtering (SVD) to generate personalized book suggestions with high accuracy. Includes full EDA, model evaluation.
A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.
A bilingual literary discovery product that starts from a familiar writer and opens three deliberately different reading paths.
Book recommendation system using machine learning and similarity algorithms to deliver personalized suggestions.
A collaborative filtering-based book recommendation system that analyzes user ratings, computes similarities, and generates personalized book suggestions using Python and matrix techniques.
📚 A Book Recommendation System built with Python, Flask, and machine learning. It suggests books based on user preferences using collaborative filtering and popularity-based models.
Book recommendation system using rank-based, user-based, and SVD collaborative filtering on the Goodreads dataset.
A simple Book Recommendation System that suggests books to users based on similarity scores using content-based filtering. Built with Python, it helps users discover books they might enjoy by analyzing features like title, author, and genre.
可自行部署的网络小说发现工具，聚合多平台榜单，支持按频道、题材和阅读偏好筛选推荐。
AI-powered book discovery and chat application built with ASP.NET Core 8 and Google Gemini API. Features include AI chat for book recommendations, Google Books search, user authentication, and chat history.
Build a book recommendation system using machine learning algorithms like collaborative filtering and content-based filtering. This system suggests personalized books based on user ratings, preferences, and similarities, ideal for AI-driven recommendation systems.
This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.
Flask + MongoDB book recommendation app powered by an Apache Airflow Apriori pipeline
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