Movie Recommender

Content based movie recommendation system

Content-based Filtering, Neighborhood-based Collaborative Filtering

This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.

PyTorch-Lightning Library for Neural News Recommendation

This repository contains various recommender systems which I have implemented so far.

Food Recommendations System With Content Based Filtering and Collaborative Filtering

Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.

A system based on the study by Aranzamendez, Bolito, and Rafe (2024) titled "An Enhancement of Content-based Filtering Applied in Movie Recommendation System."

Knowledge Graph Construction and Recommender System Development of Tourism in Singapore

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.

Netflix Movie recommendation system using collaborative filtering, svd and content based filtering

Music-Recommendation-System-Project Problem Statement: This is a recommendation system project, that analyzes user preferences and to provide personalized recommendations. This system aims to simplify decision-making, enhance music discovery, and improve the overall user experience.

Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.

Building a Movie Recommender System using Content-Based and Collaborative Filtering Techniques on MovieLens Dataset

This repository contains mini projects inData science in python with notebook files