Topic: content-based-recommendation Goto Github
Some thing interesting about content-based-recommendation
Some thing interesting about content-based-recommendation
content-based-recommendation,Bulbul is a Music Recommendation and Streaming Platform that uses graph algorithms to provide highly personalized music recommendation and music discovery system
User: aeakdogan
content-based-recommendation,Content-based Video Relevance Prediction on "cold-start" problems. Recommending new uploaded videos to users based on the extracted features.
User: akash2907
content-based-recommendation,Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)
User: akshay-madar
content-based-recommendation,This repo contains my practice and template code for all kinds of recommender systems using SupriseLib. More complex and hybrid Recommender Systems can build on top of these template codes.
User: amanjeetsahu
content-based-recommendation,PyTorch-Lightning Library for Neural News Recommendation
User: andreeaiana
Home Page: https://newsreclib.readthedocs.io/en/latest/
content-based-recommendation,A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.
User: anothermorena
content-based-recommendation,Content Based Recommender System for real estate properties.
User: arturlunardi
content-based-recommendation,Movie recommendation system based on hybrid recommender and clustering
User: beautifulbeer
content-based-recommendation,个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
User: bluemapleman
content-based-recommendation,This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
User: divyanshu169
content-based-recommendation,Classify Amazon apparel products and make recommendations based on images, title and brand information.
User: divyar2630
content-based-recommendation,Design and Implementation of a File Recommendation System Using Collaborative Filtering and Content-Based Recommendation for the Nextcloud Platform
User: doganoo
Home Page: https://www.dogan-ucar.de/recommendationassistant/
content-based-recommendation,Recommendation System Algorithm
User: dzvlfi
content-based-recommendation,[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2311.00423
content-based-recommendation,Simple Recommender System for Viblo Website using LDA (Latent Dirichlet Allocation)
User: huyhoang17
Home Page: https://viblo.asia/p/xay-dung-he-thong-goi-y-don-gian-cho-website-viblo-YWOZrgLYlQ0
content-based-recommendation,Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi
User: irlll
content-based-recommendation,This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
User: jalajthanaki
content-based-recommendation,This repository contains the code for building movie recommendation engine.
User: jalajthanaki
content-based-recommendation,Basic of Recommendation Models
User: jaypatel00174
content-based-recommendation,Next-up, a movie recommendation system project created for Microsoft Intern Engage' 2022. I got selected for Software Engineering Internship '23 at Microsoft via this program.
User: kashishahuja2002
content-based-recommendation,4 different recommendation engines for the MovieLens dataset.
User: khanhnamle1994
Home Page: https://grouplens.org/datasets/movielens/
content-based-recommendation,TibaMe 「打造智能推薦系統:用AI搞懂客戶精準行銷」 實作課程程式碼
User: khuangaf
Home Page: https://www.tibame.com/course/609
content-based-recommendation,Content-Based Recommender System Framework in python
User: m3ttiw
content-based-recommendation,This is a MERN stack Subscription based Online Learning Platform with content based recommendation system.
User: mananghetia
Home Page: https://e-learning-2eqp.onrender.com/
content-based-recommendation,This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
User: mauriziofd
content-based-recommendation,This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
User: mauriziofd
content-based-recommendation,Grocery Recommendation on Instacart Data
User: melodygr
content-based-recommendation,New product demand forecasting via Content based learning for multi-branch stores: Ali and Nino Use Case
User: nijatzeynalov
content-based-recommendation,Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
User: nikita9604
content-based-recommendation,Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
User: nikitaa30
content-based-recommendation,Build a Book Recommendation System using Goodreads data (10k books)
User: omarzaghlol
content-based-recommendation,📕 Adversarial Attacks and Defenses for Image-Based Recommendation Systems using Deep Neural Networks.
User: philippnormann
content-based-recommendation,Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
User: prakruti-joshi
content-based-recommendation,It is a content based movie recommendations web app. Based on the user input, it recommends similar movies/webseries to the user using machine learning.
User: rohankaran
Home Page: https://filmybuzz.netlify.app/
content-based-recommendation,
User: rraphaell
content-based-recommendation,A basic Course Recommendation app project built with Streamlit
User: ry05
content-based-recommendation,Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)
User: saadatrizvi
content-based-recommendation,This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
User: saifahmadkhan
content-based-recommendation,Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
User: samuelemeta
content-based-recommendation,deep learning project
User: shaghayeghjalali96
Home Page: https://iust-deep-learning.github.io/972/
content-based-recommendation,:microphone: Building a content-based podcast recommender system using NLP
User: siddgood
content-based-recommendation,Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Organization: sisinflab
content-based-recommendation,A simple content-based recommender implemented in javascript
User: stanleyfok
content-based-recommendation,Complexly represent contents, build recommender systems, evaluate them. All in one place!
Organization: swapuniba
Home Page: https://swapuniba.github.io/ClayRS
content-based-recommendation,An end-to-end data science project involving exploratory data analysis, machine learning modeling and web app deployment of book recommendation system.
User: ulyazmah
content-based-recommendation,Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
User: upasanadhameliya
content-based-recommendation,A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
User: vjvishaljha
content-based-recommendation,A simple app to help you find relevant machine learning papers to read.
User: yassine-rd
Home Page: https://paperwhiz.streamlit.app/
content-based-recommendation,This is the practice of making movie recommendation engines.
User: yjeong5126
content-based-recommendation,Hybrid recommedation for talents
User: yuzhoupeng
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