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
Recommendation System & it's types
A trust based social network for user engagement and protection.
🤖📚 Machine learning model which predicts the likability of unread storybooks based on a child's previously read storybooks.
Recommendation system projects using Knowledge, Content, and Collaborative based.
Content-based filtering uses item features to recommend other items similar to what the user likes, based on their previous actions or explicit feedback. I have applied basic content-based recommendation system using python.
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).
Content, Collaborative, and Hybrid Movie recommendation system
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