Topic: svdpp Goto Github
Some thing interesting about svdpp
Some thing interesting about svdpp
svdpp,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.
User: aliceagrawal
svdpp,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)
User: amazingdd
svdpp,Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
User: balajirvp
svdpp,Python Recommendation System
User: chiksumwong
svdpp,Movie Recommendation system with content-based and collaborative filtering
User: frapic98
svdpp, surprise svd
User: lexxai
svdpp,Collaborative Filtering based movie recommendation that uses matrix factorization to generate rating predictions for user-movie,
User: magus4450
svdpp,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.
User: praful932
Home Page: https://tfrec.netlify.app/
svdpp,Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Organization: sisinflab
svdpp,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.
User: somjit101
svdpp,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.
User: stxupengyu
svdpp,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).
User: stxupengyu
svdpp,A Python implementation of Collaborative Filtering algorithms used in Recommender Systems
User: xianchen2
svdpp,Linear regression, retraining models, regularization, SVC, RandomForest, K-means, PCA, Recommender systems, Neural Network, Keras
User: yulyan407
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