MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (+176.83%)
Mutual labels: recommendation-system
MachineLearningMachine learning for beginner(Data Science enthusiast)
Stars: ✭ 104 (+26.83%)
Mutual labels: recommendation-system
Machine-LearningExamples of all Machine Learning Algorithm in Apache Spark
Stars: ✭ 15 (-81.71%)
Mutual labels: recommendation-system
Recsys core[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).
Stars: ✭ 245 (+198.78%)
Mutual labels: recommendation-system
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: ✭ 85 (+3.66%)
Mutual labels: recommendation-system
Ranking PapersPapers on recommendation system / search ranking.
Stars: ✭ 29 (-64.63%)
Mutual labels: recommendation-system
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+146.34%)
Mutual labels: recommendation-system
image embeddingsUsing efficientnet to provide embeddings for retrieval
Stars: ✭ 107 (+30.49%)
Mutual labels: recommendation-system
News-Manager🗞news scraping and recommendation system
Stars: ✭ 14 (-82.93%)
Mutual labels: recommendation-system
Diverse-RecSysCollection of diverse recommendation papers
Stars: ✭ 39 (-52.44%)
Mutual labels: recommendation-system
Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
Stars: ✭ 249 (+203.66%)
Mutual labels: recommendation-system
compatibility-family-learningCompatibility Family Learning for Item Recommendation and Generation
Stars: ✭ 21 (-74.39%)
Mutual labels: recommendation-system
laracombee📊 A Recombee integration for Laravel
Stars: ✭ 91 (+10.98%)
Mutual labels: recommendation-system
RecommendationsystemBook recommender system using collaborative filtering based on Spark
Stars: ✭ 244 (+197.56%)
Mutual labels: recommendation-system
yummeYum-me is a nutrient based food recommendation system
Stars: ✭ 34 (-58.54%)
Mutual labels: recommendation-system
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+148.78%)
Mutual labels: recommendation-system
AnswerableRecommendation system for Stack Overflow unanswered questions
Stars: ✭ 13 (-84.15%)
Mutual labels: recommendation-system
oh-my-papersOh-My-Papers: a Hybrid Context-aware Paper Recommendation System
Stars: ✭ 18 (-78.05%)
Mutual labels: recommendation-system
mudrodMining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/
Stars: ✭ 15 (-81.71%)
Mutual labels: recommendation-system
raptorA lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
Stars: ✭ 34 (-58.54%)
Mutual labels: recommendation-system
