This repository will explain the basic implementation of different types of Recommendation systems using python.
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Updated
Sep 18, 2018 - Jupyter Notebook
This repository will explain the basic implementation of different types of Recommendation systems using python.
Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems
🌟 Production-ready AI news aggregation API with 11 intelligent features ✨ | Multi-source aggregation (70+ sources) | Gemini AI enhancement | Personalized recommendations | Built with Node.js + TypeScript + MongoDB 🚀
🤖📚 Machine learning model which predicts the likability of unread storybooks based on a child's previously read storybooks.
AI-powered article recommender using sentence embeddings and FAISS for semantic search. Includes a FastAPI backend and Streamlit frontend.
Recommendation System & it's types
Interactive Power BI dashboard analyzing Netflix titles, viewing patterns, and strategic recommendations.
A trust based social network for user engagement and protection.
A full-stack recommender platform featuring a FastAPI backend and a React/TypeScript frontend. It utilizes TF-IDF and Cosine Similarity to process movie metadata into real-time suggestions, supported by a SQLite database and a modern Vite-powered UI.
An RESTful API paired with a content scraper that analyzes popular YouTube content and arranges it in interesting ways for the end user (via API endpoints).
AI content recommender chatbot built with Flask, Streamlit, and Gemini API
🚀 Generate tailored deal content recommendations using Zoho CRM, GPT-4o-mini, and Gmail for smarter sales follow-ups.
Recommendation system projects using Knowledge, Content, and Collaborative based.
Audiovisual content discovery and personalized recommendations application
可复现的中文离线内容推荐应用原型,覆盖合成行为数据、动态兴趣画像、双路召回、个性化排序、多样性重排、推荐解释与离线评估。
Zemanta — independent third-party profile of a public API surface, by API Evangelist. Zemanta was a native advertising and content-recommendation technology company founded in 2007 (Ljubljana, Slovenia and New York), best known for Zemanta One, a self-serve programmatic demand-side platform (DSP) for native advertising.
Content, Collaborative, and Hybrid Movie recommendation system
RevContent — independent third-party profile of a public API surface, by API Evangelist. RevContent is a performance-driven native advertising and content recommendation network offering a REST API for managing widgets, campaigns (boosts), ad content, audience targeting, bidding, and performance reporting.
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