svdpp

There are 1 repository under svdpp topic.

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)
recommender-system matrix-factorization factorization-machines item2vec k-nearest-neighbors pytorch slim neural-collaborative-filtering svdpp biasmf collaborative-filtering neumf deepfm nfm cdae vae afm ease
Language:Python 545
sisinflab / elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
recommender-system machine-learning collaborative-filtering content-based-recommendation bprmf matrix-factorization vae svdpp funksvd slim neural-collaborative-filtering k-nn k-nearest-neighbours nfm knowledge-graph recommendations tensorflow2 keras deepfm
Language:Python 266
Tf-Rec
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.
svd svdplusplus tensorflow keras machine-learning deep-learning machine-learning-algorithms recommender-system recommendation-system python python-library svdpp matrix-factorization
Language:Python 18
Lednik7 / RuCode3
Применяем Singular Value Decomposition with implicit feedback для задачи рекомендации аниме
tf-recsys python svd-matrix-factorisation svdpp annoy catboost rucode mipt svd
Language:Jupyter Notebook 8
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.
cosine-similarity jupyter-notebook modeling non-negative-matrix-factorization python python-3 python3 rfm-analysis surprise-python svd svdpp
Language:Jupyter Notebook 5
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.
collaborative-filtering content-based-recommendation item-based-recommendation recommendation-system sbert-implementation surprise-library svdpp user-based-recommendation user-item-utility-matrix recommender-system recsys
Language:Jupyter Notebook 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.
svd svdpp surprise-library
Language:Jupyter Notebook 3
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).
svd svdpp pmf nmf surprise-library yelp-dataset
Language:Jupyter Notebook 3
xianchen2 / Recommender_System
A Python implementation of Collaborative Filtering algorithms used in Recommender Systems
matrix-factorization recommender-system svd svdpp
Language:Jupyter Notebook 2
lexxai / goit_python_ds_hw_07
surprise svd
matrix-factorization recommendation-system surprise svd svd-matrix-factorisation svdpp
Language:Jupyter Notebook 1
Magus4450 / Movie-Recommendation-System-using-Collaborative-Filtering
Collaborative Filtering based movie recommendation that uses matrix factorization to generate rating predictions for user-movie,
collaborative-filtering fastapi surprise svd svdpp
Language:Python 1
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.
recommendation-system netflix-prize movie-recommendation matrix-factorization machine-learning netflix svd-matrix-factorisation svd svdpp boosting-algorithms xgboost xgboost-regression regression-models surprise-library svd-factorization implicit-feedback recommendation-engine
Language:Jupyter Notebook 1
chiksumwong / recommendation_system
Python Recommendation System
scikit-surprise svdpp
Language:Python 0
frapic98 / Movie-Recommendation-system
Movie Recommendation system with content-based and collaborative filtering
collaborative-filtering content-based-recommendation machine-learning movies recommendation-system svd svdpp
Language:Jupyter Notebook 0
OlgaTsuban / Practice_With_DataScience
data-science numpy python3 mathplotlib pandas linear-regression sklearn random-forest svc nmf recommender-system surprise svd svdpp keras neural-network tensorflow
Language:Jupyter Notebook

svdpp

AmazingDD / daisyRec

sisinflab / elliot

Praful932 / Tf-Rec

Lednik7 / RuCode3

aliceagrawal / HM-Recommender-System-App

Balajirvp / Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering

stxupengyu / MF-for-Movie-Recommendation

stxupengyu / Yelp-Recomendation-Algorithms

xianchen2 / Recommender_System

lexxai / goit_python_ds_hw_07

Magus4450 / Movie-Recommendation-System-using-Collaborative-Filtering

somjit101 / Netflix-Movie-Recommendation

chiksumwong / recommendation_system

frapic98 / Movie-Recommendation-system

OlgaTsuban / Practice_With_DataScience