#计算机科学#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.
#计算机科学#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 supervi...
Hybrid recommedation for talents
#计算机科学#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
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
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 Reco...
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.
Recommendation System Algorithm
#计算机科学#Auto encoders based recommendation system
Recommends movies using Collaborative and Content based filtering techniques
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.
Amar deep architectures for hybrid recommenders with GNNs
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
A hybrid group recommendation system for film and TV content using Letterboxd profile data
Hybrid Recommender System for Computer Science Papers | Master's Thesis Project 2023
An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.
Public repository for the Isle of Wight Supply Chain (IWSC) dataset and the Transitive Semantic Relationships (TSR) inference algorithm for cold-start recommendations.