movielens-dataset
Here are 138 public repositories matching this topic...
.Personalized recommendation system built on top of a multiplicative LSTM.
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May 1, 2022 - Jupyter Notebook
An on-line movie recommender using Spark, Clojure Luminus, and the MovieLens dataset
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May 1, 2019 - Clojure
Comparison of Recommender System Algorithms on MovieLens Dataset. Experimentation with Hybrid approach combining the algorithms. Implementation of interest sequence based collaborative filtering.
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Aug 21, 2020 - Python
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Sep 17, 2021 - Jupyter Notebook
Apache Spark Programs to perform data analysis on movielens data
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Jan 19, 2016 - XSLT
Implementation of Microsoft's Matchbox Recommender trained on MovieLens dataset used in simple React web application to provide movie recommendations.
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Jan 7, 2020 - TypeScript
Data Science training project for the Alura Cursos platform
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Mar 21, 2021 - Jupyter Notebook
This is movie recommendation system with pandas back-end. There are a few things you can do with it. Search for movie, find movie what to watch based on genre and when you have watched a movie to find other movies similar to it.
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Jul 23, 2017 - Python
This repository contains analysis work I did on the MovieLens dataset using the big data tools Pig and Hive alongside the Hadoop infrastructure
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Jan 10, 2021 - PigLatin
#Recommendation System: Collaborative and Content-based; NumPy,SciPy, LightFM, OpenMP, Weighted Approximate-Rank Pairwise, Gradient Descent, Compressed Sparse Row Format; MovieLens: GroupLens Research Site (University of Minnesota) https://movielens.org/
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Oct 8, 2018 - Python
Predicting ratings of a movie using ridge regression and lasso regression trained on the Movie Lens database
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Aug 27, 2020 - Jupyter Notebook
Implementation of various collaborative filtering methods for recommender systems with implicit feedback
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Apr 17, 2023 - Jupyter Notebook
implementation of an AB test for a recommendation system using the dataset movielens 10m
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Sep 18, 2018 - TypeScript
Application of chatbot. Generating different chatbot models from various neural networks structures.
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Sep 5, 2021 - Python
Movie recommendation model on MovieLens dataset
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Dec 3, 2023 - Jupyter Notebook
implementation of a movie recommendation system using the K Nearest Neighbors algorithm. The system suggests movies based on user-provided personal information and rated movies.
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Dec 27, 2023 - Jupyter Notebook
Recommendation Systems based on movie comparison
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Mar 4, 2023 - SCSS
UV matrix decompostion using movielens dataset
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Mar 17, 2023 - Jupyter Notebook
Using the MovieLens 20 Million review dataset, this project aims to explore different ways to design, evaluate, and explain recommender systems algorithms. Different item-based and user-based recommender systems are showcased as well as a hybrid algorithm using a modified page-rank algorithm.
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Nov 12, 2023 - Jupyter Notebook
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