Kdd Multimodalities RecallThis is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.
Stars: ✭ 61 (+79.41%)
Flink Commodity Recommendation System🐳基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时,数据由 kafka 发送到 flink,根据用户历史评分行为进行实时和离线推荐。实时推荐包括:基于行为和实时热门,离线推荐包括:历史热门、历史优质商品和 itemcf 。
Stars: ✭ 167 (+391.18%)
Neu Review RecA Toolkit for Neural Review-based Recommendation models with Pytorch.
Stars: ✭ 92 (+170.59%)
Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
Stars: ✭ 297 (+773.53%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+494.12%)
CaserecommenderCase Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Stars: ✭ 318 (+835.29%)
Graphembeddingrecommendationsystem Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
Stars: ✭ 144 (+323.53%)
Recsys计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Stars: ✭ 1,350 (+3870.59%)
Deep-Learning-Model-for-Hybrid-Recommendation-EngineA Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor
Stars: ✭ 19 (-44.12%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (+567.65%)
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (+150%)
News-Manager🗞news scraping and recommendation system
Stars: ✭ 14 (-58.82%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (+2.94%)
Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Stars: ✭ 192 (+464.71%)
Recsys2019 deeplearning evaluationThis 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.
Stars: ✭ 780 (+2194.12%)
RecnnReinforced Recommendation toolkit built around pytorch 1.7
Stars: ✭ 362 (+964.71%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (+800%)
SLIM-recommendationA simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF
Stars: ✭ 39 (+14.71%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+34658.82%)
RecommendationsystemBook recommender system using collaborative filtering based on Spark
Stars: ✭ 244 (+617.65%)
MachineLearningMachine learning for beginner(Data Science enthusiast)
Stars: ✭ 104 (+205.88%)
Toptal RecommenginePrototype recommendation engine built to accompany an article on Toptal Blog
Stars: ✭ 90 (+164.71%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+500%)
TensorrecA TensorFlow recommendation algorithm and framework in Python.
Stars: ✭ 1,130 (+3223.53%)
laracombee📊 A Recombee integration for Laravel
Stars: ✭ 91 (+167.65%)
MoviePersonalized real-time movie recommendation system
Stars: ✭ 37 (+8.82%)
Django RecommendsA django app that builds item-based suggestions for users.
Stars: ✭ 194 (+470.59%)
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Stars: ✭ 954 (+2705.88%)
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: ✭ 85 (+150%)
Deeprec推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Stars: ✭ 822 (+2317.65%)
RecboleA unified, comprehensive and efficient recommendation library
Stars: ✭ 780 (+2194.12%)
Diverse-RecSysCollection of diverse recommendation papers
Stars: ✭ 39 (+14.71%)
OpenrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Stars: ✭ 360 (+958.82%)
NewsrecommenderA news recommendation system tailored for user communities
Stars: ✭ 164 (+382.35%)
AtrankAn Attention-Based User Behavior Modeling Framework for Recommendation
Stars: ✭ 334 (+882.35%)
Reco GymCode for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Stars: ✭ 314 (+823.53%)
RivalRiVal recommender system evaluation toolkit
Stars: ✭ 145 (+326.47%)
CornacA Comparative Framework for Multimodal Recommender Systems
Stars: ✭ 308 (+805.88%)
Ranking PapersPapers on recommendation system / search ranking.
Stars: ✭ 29 (-14.71%)
Recommendrecommendation system with python
Stars: ✭ 284 (+735.29%)
DeepconnThis is our implementation of DeepCoNN
Stars: ✭ 131 (+285.29%)
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
Stars: ✭ 35 (+2.94%)
Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
Stars: ✭ 249 (+632.35%)
Machine-LearningExamples of all Machine Learning Algorithm in Apache Spark
Stars: ✭ 15 (-55.88%)
raptorA lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
Stars: ✭ 34 (+0%)
AnswerableRecommendation system for Stack Overflow unanswered questions
Stars: ✭ 13 (-61.76%)
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 (+620.59%)