Topic: recomender-system Goto Github
Some thing interesting about recomender-system
Some thing interesting about recomender-system
recomender-system,NNMU Detection
User: 1800m
recomender-system,Wedding Package Recomendation API
User: adiwirya
recomender-system,Code for my book recommender application built with Flask
User: alexjnim
Home Page: https://alexnim.com/coding-projects-book-rec-app.html
recomender-system,Movie Recommendation System using The Movies Dataset on Kaggle.
User: alfarias
recomender-system,Media player written in python and a small recommendation service
User: ali-fartout
recomender-system,基于 PaddlePaddle 框架复现 DLRM CTR 预估算法
User: andy1314chen
recomender-system,Project data science Python membuat rekomendasi film menggunakan metode Machine Learning
User: anggorodhanumurti
Home Page: https://www.netflix.com/
recomender-system,
User: ankitsrivastava01
recomender-system,Cooky - Automatic Recipe Suggestion
User: bennerlukas
recomender-system,Execução Scripts do Livro Mastering Machine Learning Packt
User: bkuasney
recomender-system,A project for the subject "New uses of Computing Science" at Universitat de Barcelona
User: blaieet
recomender-system,An easy to use interface to recommender systems.
Organization: codelibs
Home Page: https://recotem.org
recomender-system,Some notes on AI/ML and Mathematics
User: doducthao
Home Page: https://doducthao.github.io/
recomender-system,A system to recommend wines based on their description.
User: duartejr
recomender-system,Curso Machine Learning por la Universidad de Stanford, a través de la plataforma Coursera. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/machine-learning
User: dunittmonagas
recomender-system,Meta-learning system for recommending algorithms for analyzing gene expression data
User: ealcobaca
recomender-system,Maven project that consists of a book and movie recommendation system based in Apache Mahout artificial intelligence algorithm.
User: gabrielpulga
recomender-system,Hybrid movie recommendation web app using Machine Learning, the movie DB API, and Flask.
User: gitteaching
Home Page: https://hybrid-movie-recommender-app.herokuapp.com/
recomender-system,Different machine learning methods are used in this repository. It contains more than one sample notebook for these methods.
User: guvenbaris
recomender-system,Machine Learning Terapan - Submission 2
User: ikkykun10
recomender-system,In this section, we will create a recommendation system on the movie meta dataset.
User: ipekdogabedirhan
recomender-system,
User: itsfk
recomender-system,
User: jathu1994
recomender-system,Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles
User: juancsherrera
Home Page: https://arxiv.org/abs/2004.07454
recomender-system,
User: kyziridis
recomender-system,My kaggle Notebooks
User: m-mohsin-ali
recomender-system,Building a collaborative filtering recommender systems on books dataset
User: mehrabkalantary
recomender-system,This project implements a robust recommender system for book recommendations, leveraging ensemble methods, user-specific strategies, XGBoost, and extensive data preprocessing to achieve high performance in the Recommender System 2023 Challenge hosted by Kaggle for students of Politecnico di Milano's Recommender Systems course.
User: melaniasala
Home Page: https://www.kaggle.com/competitions/recommender-system-2023-challenge-polimi
recomender-system,IBM Machine Learning Professional Certificate with Coursera
User: mertdil
recomender-system,🎥👨🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods
User: michael-halim
recomender-system,Intro in recommendation systems: theory and practice.
User: mikeasta
recomender-system, A python project to extract Association Rules from IranITJobs2021 dataset using Apriori algorithm.
User: mrezasaeidi
recomender-system,Leveraging Neo4j for recommending Job
Organization: mystic-trooper
recomender-system,Crop recommend System on the basis of location .
User: narutoop
recomender-system,Anime Recomender System
User: padmanaba231
recomender-system,Create higher-quality recommendations in your e-Commerce platform
User: paragao
recomender-system,Scientific paper reviewer recomendation based on a text analysis technique and the bag-of-words concept.
User: ppieczywek
recomender-system,Sistema de recomendación para la compra de un producto electrónico, incorpora resultados de búsqueda de Amazon, Ebay, Linio, OLX, Mercado Libre Colombia, Dondo, Exito.com y Falabella.
Organization: productoselectronicos
recomender-system,Implement the K-means and Apriori methods to provide recommendations for the selection of elective courses according to the expertise group.
User: rikiafifuddin
recomender-system,
User: riz04
recomender-system,The project takes in data about ratings given by users for different movies, analysis their activity, and recommends the top 5 movies for the user (coded in core java)
User: rohangoyal17
recomender-system,Product recommendation application, implemented with Angular 6, with demo in:
User: semllo
Home Page: https://marsemll.upv.edu.es/
recomender-system,Articles recomendations for IBM Watson users
User: snandasena
recomender-system,Movie Recommender API: FastAPI-based backend for movie recommendations using collaborative filtering.
User: spackigabriel
recomender-system,Sincere, a less biased hybrid movie recommendation system based on ratings.
User: thiagocarvalho-81
recomender-system,Projects developed under the Data Mining II college chair during the 2019/2020 school year
User: tiagocoelhofcup
recomender-system,Are you confused about what to binge-watch next? Welcome to the Precog-Movie-Recommender. Just enter ratings about 5 movies which we will show you, and we will recommend you what to view next.
User: ujjwalll
recomender-system,:movie_camera: Non-trivial film search project based on NLP
User: xanderkov
recomender-system,A simple but fully functioning e-commerce website built with Laravel.
User: xitish
Home Page: https://pukarg.com.np
recomender-system,Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
User: zilize
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