Evaluating and comparing recommender system models using MovieLens-Ratings dataset

A movie recommender application

Did you ever wonder how the recommendations on Netflix work? Find out in this project, where I build three basic movie recommenders and implement them in a streamlit App.

Elice Generative AI Edu Hackaton TEAM10 <AI오늘>

Tasty Trail: Restaurant Recommendation System

This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised, Unsupervised, and Recommender system algorithms.

The project used Python to create a personalized book recommendation system that analyzed users' past ratings on books to identify their preferences and patterns and suggested books that the user is likely to enjoy but has not read yet.

Built a movie recommender system using Movielens dataset using both content-based filtering approach and collaborative filtering method.

Système de recommandation

I built recommender systems for recommending products to user using Model-based recommendation system.

A Movie Recommendation System using Collabrative Filtering

Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.

Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library

Using a dataset from MovieLens, a movie recommendation system was created that recommends to users which movies they will like. The system also goes a step further to solve the cold start problem, which is when there is a new user in the dataset and there is no prior information on them. This system also finds a solution to this.

Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.

Proyectos de Data Science y Machine Learning.

Machine Learning - Recommendation System

A Book Recommender System: Collaborative Filtering using Surprise (k-NN Baseline model)