Topic: "svdpp"
AmazingDD/daisyRec
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Language: Python - Size: 12.8 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 551 - Forks: 84
sisinflab/elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Language: Python - Size: 78.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 288 - Forks: 51
Praful932/Tf-Rec
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Language: Python - Size: 156 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 2
Lednik7/RuCode3
Применяем Singular Value Decomposition with implicit feedback для задачи рекомендации аниме
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1
aliceagrawal/HM-Recommender-System-App
Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.
Language: Jupyter Notebook - Size: 130 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4
stxupengyu/MF-for-Movie-Recommendation
使用矩阵分解方法进行电影推荐的评分预测。The matrix factorization method is used to predict the rating of movie recommendation.
Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
Balajirvp/Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
stxupengyu/Yelp-Recomendation-Algorithms
在Yelp数据集上摘取部分评分数据进行多种推荐算法（SVD,SVDPP,PMF,NMF）的性能对比。Some rating data are extracted from yelp dataset to compare the performance of various recommendation algorithms(SVD,SVDPP,PMF,NMF).
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
xianchen2/Recommender_System
A Python implementation of Collaborative Filtering algorithms used in Recommender Systems
Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
somjit101/Netflix-Movie-Recommendation
A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.
Language: Jupyter Notebook - Size: 9.07 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
pintamonas4575/RECSYS-project-MAADM-UPM
Recommendation Systems project from ML and BD Master Degree from UPM. Collaborative and content-based filtering competitions.
Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
RoyalAnh/Fast_RS
Accelerated Recommendation System on the rating prediction problem using Numba library.
Language: Python - Size: 48.8 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
yulyan407/GoIT_Data_Science
Linear regression, retraining models, regularization, SVC, RandomForest, K-means, PCA, Recommender systems, Neural Network, Keras
Language: Jupyter Notebook - Size: 4.79 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
OlgaTsuban/Practice_With_DataScience
Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
lexxai/goit_python_ds_hw_07
surprise svd
Language: Jupyter Notebook - Size: 9.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Magus4450/Movie-Recommendation-System-using-Collaborative-Filtering
Collaborative Filtering based movie recommendation that uses matrix factorization to generate rating predictions for user-movie,
Language: Python - Size: 58.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
frapic98/Movie-Recommendation-system
Movie Recommendation system with content-based and collaborative filtering
Language: Jupyter Notebook - Size: 174 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
chiksumwong/recommendation_system 📦
Python Recommendation System
Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
