KayvanShah1/usc-dsci553-data-mining-sp24

USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

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jtonglet/Recommender-Systems-Polimi

Competition for the Recommender Systems course @ PoliMi. The objective is to recommend relevant TV shows to users. Models were evaluated on their MAP@10.

Language: Python - Size: 16.7 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 1

RuochenT/transformer_hybrid

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.

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threnjen/boardgamegeek

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.

Language: Jupyter Notebook - Size: 105 MB - Last synced: 22 days ago - Pushed: 23 days ago - Stars: 4 - Forks: 0

tuansunday05/ArticleRecommenderSystem

Using hybrid recommender system with apriori algorithm, content-based and collaborative filtering method for predicting users interactions and then recommend them for users.

Language: Jupyter Notebook - Size: 8.93 MB - Last synced: about 1 month ago - Pushed: 5 months ago - Stars: 1 - Forks: 3

ZeusCoderBE/Recommender-System

Content-based Filtering, Neighborhood-based Collaborative Filtering

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Pratik94229/Book-Recommendation-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.

Language: Jupyter Notebook - Size: 40.5 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 4 - Forks: 0

mesudepolat/Hybrid-Recommender-System

This project combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.

Language: Python - Size: 570 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 11 - Forks: 1

MaurizioFD/RecSys2019_DeepLearning_Evaluation

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.

Language: Python - Size: 216 MB - Last synced: 2 months ago - Pushed: about 1 year ago - Stars: 981 - Forks: 250

joel-beck/readnext

Hybrid Recommender System for Computer Science Papers | Master's Thesis Project 2023

Language: Python - Size: 76.5 MB - Last synced: 28 days ago - Pushed: 8 months ago - Stars: 2 - Forks: 0

SebastianRokholt/Hybrid-Recommender-System

A repository for a machine learning project about developing a hybrid movie recommender system.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 35 - Forks: 13

jalajthanaki/Movie_recommendation_engine

This repository contains the code for building movie recommendation engine.

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jayjinnie/Food-Recommendation-System

2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스

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AjNavneet/Hybrid_Recommender_LightFM_RetailData

Hybrid recommendation system using LightFM library and different loss functions on retail data.

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Praveen76/Recommendation-System-Interview-Prep-Guide

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.

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amolratnaparkhe/Foodfinder-Recommendation-System

Food Finder: An interface for a multi-user recommendation system.

Language: Jupyter Notebook - Size: 827 KB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

Cassteow/WatchList_Letterboxd

A hybrid group recommendation system for film and TV content using Letterboxd profile data

Language: Python - Size: 30.3 KB - Last synced: 14 days ago - Pushed: 5 months ago - Stars: 2 - Forks: 0

senanurbalcioglu/hybrid_recommender_system

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srirambaskaran/hybrid-movie-recommender-system

Language: Scala - Size: 855 KB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 4

ajithvernekar/recommender-system-e-commerce

This repository contains a recommendation model for content-based, collaborative filtering and hybrid model approaches. It also exhibits popularity model for new-users to address cold-start problem. It evaluates the model using metrics like coverage, diversity and novelty

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Heisenberg0203/Recommendation_System

Hybrid Recommendation System for IMDB data set In Python from Scratch (can be scaled to any applications)

Language: Jupyter Notebook - Size: 553 KB - Last synced: 9 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 2

francescoperessini/Recommender-System-PoliMi-2019

Recommender System 2019 Challenge PoliMi

Language: Python - Size: 315 MB - Last synced: 11 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

ohara-bookshelf/hybrid-recommendation-models 📦

This repository contains the machine learning part of the project especially the used algorithms for the recommendation system

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Brice-Vergnou/movie_recommendation

Create a hybrid recommendation system to suggest the most relevant movies for a user

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Manisha-Karim/Movie-Recommendation-System

Content, Collaborative, and Hybrid Movie recommendation system

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prakruti-joshi/Movie-Recommendation-System

Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.

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smsraj2001/RECOMMENDER-SYSTEM

Implementation of a Recommender system by using Steam Dataset corpus.

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Sarvesh1814/Recommendation_System

Recommendation Systems with mathematical modelling

Language: Jupyter Notebook - Size: 945 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

danielchristopher513/Hybrid_Movie_Recommendation

Language: Jupyter Notebook - Size: 349 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

michael-halim/testing-hosting-skripsi

🎓 Final Project for Completing Bachelor Degree in Petra Christian University. Create Hybrid Recommender System for Interior Products and its Services using Data Implicit Feedback

Language: Python - Size: 1.08 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

SageRalph/TSR-Public

Public repository for the Isle of Wight Supply Chain (IWSC) dataset and the Transitive Semantic Relationships (TSR) inference algorithm for cold-start recommendations.

Language: Python - Size: 3.09 MB - Last synced: 5 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 1

pasqualedem/Deep_CBRS_Amar_Renaissance

Amar deep architectures for hybrid recommenders with GNNs

Language: Python - Size: 5.09 MB - Last synced: 13 days ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

dorukkilitcioglu/books2rec

A recommender system built for book lovers.

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YuzhouPeng/Linedin-User-profile-Hybrid-Recommendation

Hybrid recommedation for talents

Language: Python - Size: 162 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 18 - Forks: 6

Youssef0Eldeeb/Recommendation-Systems

Building powerful and personalized, recommendation engines with Python

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BeautifulBeer/Youflix

Movie recommendation system based on hybrid recommender and clustering

Language: Vue - Size: 82.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 7 - Forks: 4

Hasibul-Islam/Hybrid-Recommendation-System

This is an ecommerce recommendation system that is measured with weighted user rating and content cosine similarity.

Language: Jupyter Notebook - Size: 7.95 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

dzvlfi/Recommendation-System-Algorithms

Recommendation System Algorithm

Language: Python - Size: 2.83 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 7 - Forks: 2

Dhruv-Mishra/Age-and-Context-Sensitive-Hybrid-Entertaintment-Recommender-System

An age and context sensitive movie recommendation system for a group of people spanning various age groups that considers the preferences, past activities, and currently trending content to recommend an age-appropriate movie for all to enjoy

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MaurizioFD/CFeCBF

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"

Language: Python - Size: 2.65 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 11 - Forks: 5

arigalzi/RecommenderSystems-Challenge

Recommender system challenge @ Polimi

Language: Python - Size: 552 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

faizanahemad/Hybrid-Weighted-Embedding-Recommender

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

Language: Python - Size: 1020 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 13 - Forks: 2

lpraat/RecSys

Set of recommender systems

Language: Python - Size: 4.68 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 6 - Forks: 1

SamueleMeta/recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Language: Python - Size: 7.25 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 9 - Forks: 4

imnikhilanand/Recommendation-System-Suggesting-Streamers-on-Twitch

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.

Language: Python - Size: 22.4 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

schatzederwelt/library-recommendation-system

Проект создания рекомендательной системы для библиотеки

Language: Jupyter Notebook - Size: 4.13 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

Gaurav-Pande/Recommendation_systems

Auto encoders based recommendation system

Language: Python - Size: 3.45 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 5 - Forks: 1

pncnmnp/Movie-Recommendation

Recommends movies using Collaborative and Content based filtering techniques

Language: Python - Size: 22.3 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 4

swapUniba/Deep_CBRS_Amar_Renaissance

Amar deep architectures for hybrid recommenders with GNNs

Language: Python - Size: 4.95 MB - Last synced: 13 days ago - Pushed: 6 months ago - Stars: 4 - Forks: 3

materight/therapy-recommender-system

An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.

Language: Python - Size: 13 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

Divyanshu169/IT556_Worthless_without_coffee_DA-IICT_Final_Project

This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.

Language: Python - Size: 675 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 11 - Forks: 8

shr1611/Recommendation_Systems_study

Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better

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merrillm1/Olist_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.

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StivenMetaj/Recommender_Systems_Challenge_2020 Fork of SamueleMeta/recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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lucashu1/CDN-RecSys

A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites

Language: Jupyter Notebook - Size: 5.14 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 8 - Forks: 3

MultiBeerBandits/recsys_challenge_2017

Set of music recommendation algorithms we implemented to join the annual RecSys Competition at Politecnico di Milano in 2017.

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romeomatteo/kaggle-polimi-challenge-2017

Repository of the python scripts for the CS competition held in Kaggle obtaining the 4th place

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