Topic: hybrid-recommender-system Goto Github
Some thing interesting about hybrid-recommender-system
Some thing interesting about hybrid-recommender-system
hybrid-recommender-system,Hybrid recommendation system using LightFM library and different loss functions on retail data.
User: ajnavneet
hybrid-recommender-system,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
hybrid-recommender-system,Food Finder: An interface for a multi-user recommendation system.
User: amolratnaparkhe
hybrid-recommender-system,Movie recommendation system based on hybrid recommender and clustering
User: beautifulbeer
hybrid-recommender-system,Create a hybrid recommendation system to suggest the most relevant movies for a user
User: brice-vergnou
hybrid-recommender-system,A hybrid group recommendation system for film and TV content using Letterboxd profile data
User: cassteow
Home Page: https://watchlistletterboxd.streamlit.app/
hybrid-recommender-system,This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
User: divyanshu169
hybrid-recommender-system,A recommender system built for book lovers.
User: dorukkilitcioglu
Home Page: https://books2rec.me
hybrid-recommender-system,Recommendation System Algorithm
User: dzvlfi
hybrid-recommender-system,A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embeddings enables solving cold start with fast training and serving
User: faizanahemad
hybrid-recommender-system,Auto encoders based recommendation system
User: gaurav-pande
Home Page: http://www.gauravpande.in/Recommendation_systems/
hybrid-recommender-system,The "Music Recommender System using Spotify API" project aims to create a personalized music recommendation system for users based on their listening preferences and behavior. By leveraging the Spotify API, we can access a vast collection of music data, including tracks, artists, genres, and user playlists.
User: gopalkholade
hybrid-recommender-system,This is an ecommerce recommendation system that is measured with weighted user rating and content cosine similarity.
User: hasibul-islam
hybrid-recommender-system,Hybrid Recommendation System for IMDB data set In Python from Scratch (can be scaled to any applications)
User: heisenberg0203
hybrid-recommender-system,The project is based on a Hybrid recommendation engine that uses both Collaborative as well as Content based filtering methods to suggest streamers to the online users based on the type content they consume.
User: imnikhilanand
hybrid-recommender-system,EDA, Pre-processing, 6 Recommendation Systems Techniques: * Popularity-Based, * Cosine Similarity Collaborative Filtering, * Matrix Factorization Collaborative Filtering, * Clustering, * Content-Based Filtering, * Hybrid Recommendation System.
User: irina911
hybrid-recommender-system,This repository contains the code for building movie recommendation engine.
User: jalajthanaki
hybrid-recommender-system,Hybrid Recommender System for Computer Science Papers | Master's Thesis Project 2023
User: joel-beck
Home Page: https://joel-beck.github.io/readnext/
hybrid-recommender-system,The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
User: lodz97
hybrid-recommender-system,Set of recommender systems
User: lpraat
hybrid-recommender-system,A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
User: lucashu1
hybrid-recommender-system,An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.
User: materight
hybrid-recommender-system,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
hybrid-recommender-system,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
hybrid-recommender-system,Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.
User: merrillm1
hybrid-recommender-system,Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
User: mesudepolat
hybrid-recommender-system,Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.
Organization: multibeerbandits
hybrid-recommender-system,This repository contains the machine learning part of the project especially the used algorithms for the recommendation system
Organization: ohara-bookshelf
hybrid-recommender-system,Amar deep architectures for hybrid recommenders with GNNs
User: pasqualedem
hybrid-recommender-system,Recommends movies using Collaborative and Content based filtering techniques
User: pncnmnp
Home Page: https://boxoffice.pythonanywhere.com/
hybrid-recommender-system,Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
User: prakruti-joshi
hybrid-recommender-system,This repository contains the code for a book recommendation system that uses natural language processing techniques to recommend books to users based on their preferences.
User: pratik94229
hybrid-recommender-system,Explore the Hybrid Recommender System on E-commerce Data repository! This GitHub project showcases a solution for building a hybrid recommender system. Dive into the code, discover innovative approaches, and enhance your understanding of creating effective recommendation systems tailored for E-commerce Data.
User: praveen76
Home Page: https://towardsmachinelearning.org/
hybrid-recommender-system,Explore the Recommendation System Interview Prep Guide! This GitHub repository provides curated interview questions and answers for Data Scientists. Elevate your knowledge of recommendation systems, navigate technical interviews with confidence, and succeed in the dynamic field of data science focused on recommendation system applications.
User: praveen76
Home Page: https://towardsmachinelearning.org/
hybrid-recommender-system,The goal of this project is to implement a Hybrid Recommender System that combines item-based and user-based recommendation methods to provide movie recommendations for a specific user. The system aims to offer a total of 10 movie recommendations by using both methods.
User: reates
Home Page: https://medium.com/@emre_ates/what-are-recommendation-systems-in-simple-words-4e4334e8326b
hybrid-recommender-system,Repository of the python scripts for the CS competition held in Kaggle obtaining the 4th place
User: romeomatteo
Home Page: https://inclass.kaggle.com/c/computer-systems-2017-challenge-polimi
hybrid-recommender-system,This study aims to investigate the effectiveness of three Transformers (BERT, RoBERTa, XLNet) in handling data sparsity and cold start problems in the recommender system. We present a Transformer-based hybrid recommender system that predicts missing ratings and ex- tracts semantic embeddings from user reviews to mitigate the issues.
User: ruochent
hybrid-recommender-system,Public repository for the Isle of Wight Supply Chain (IWSC) dataset and the Transitive Semantic Relationships (TSR) inference algorithm for cold-start recommendations.
User: sageralph
Home Page: https://doi.org/10.1007/s00607-020-00792-y
hybrid-recommender-system,Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
User: samuelemeta
hybrid-recommender-system,Проект создания рекомендательной системы для библиотеки
User: schatzederwelt
hybrid-recommender-system,A repository for a machine learning project about developing a hybrid movie recommender system.
User: sebastianrokholt
hybrid-recommender-system,Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
User: shr1611
Home Page: https://www.kaggle.com/shrutijb/final-lightfm
hybrid-recommender-system,
User: srirambaskaran
hybrid-recommender-system,A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor
User: sukeshsangam
hybrid-recommender-system,Amar deep architectures for hybrid recommenders with GNNs
Organization: swapuniba
hybrid-recommender-system,BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.
User: threnjen
hybrid-recommender-system,Using hybrid recommender system with apriori algorithm, content-based and collaborative filtering method for predicting users interactions and then recommend them for users.
User: tuansunday05
hybrid-recommender-system,A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
User: vjvishaljha
hybrid-recommender-system,Building powerful and personalized, recommendation engines with Python
User: youssef0eldeeb
hybrid-recommender-system,Hybrid recommedation for talents
User: yuzhoupeng
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