A hybrid approach to improving a collaborative filtering based movie recommendation system's performance using kNN & genetic algorithm.
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Updated
May 3, 2023 - C++
A hybrid approach to improving a collaborative filtering based movie recommendation system's performance using kNN & genetic algorithm.
A basic machine learning based recommendation engine that uses collaborative filtering to find the top k most similar users to a target user and predicts the top k videos, most likely to be liked by a target user.
A Python/C++ implementation of Bayesian Factorization Machines
GraphMat graph analytics framework
Collaborative filtering on fantlab.ru data
A simple relational graph analyzer to recommend movies.
This project is serving an e-shopping application that can be used by customers. I have Taken a particular category of product that is present in the database. Customers can efficiently select with help of our recommendation system, securely purchase an item using an encryption algorithm, and can get the picked product using an optimized shortes…
Qt C++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset
simple c++ implementation of collaborative filtering.
User Based Movie Recommendation System based on Collaborative Filtering Using Netflix Movie Dataset
Implementation of a Song Recommendation system
An item-based collaborative filtering recommender system built from scratch in C++
Movie Recommendation System using Unification of User Based and Item Based Collaborative Filtering Methods by Similarity Fusion. Project was implemented in Python using flask.
GPGPU Parallel User-User Collaborative Filtering System in CUDA C
A node addon for recommendations
Collaborative Filtering using mdc or correlation to recommend movies
This is a repository which save the soure code of the term project of ADS.
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