AnswerableRecommendation system for Stack Overflow unanswered questions
Stars: ✭ 13 (-88.89%)
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 (+109.4%)
NVTabularNVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Stars: ✭ 797 (+581.2%)
Diverse-RecSysCollection of diverse recommendation papers
Stars: ✭ 39 (-66.67%)
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 (+42.74%)
cs6101The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.
Stars: ✭ 17 (-85.47%)
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: ✭ 85 (-27.35%)
Tf-RecTf-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.
Stars: ✭ 18 (-84.62%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+72.65%)
retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-72.65%)
yummeYum-me is a nutrient based food recommendation system
Stars: ✭ 34 (-70.94%)
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 (+23.08%)
STWalkImplementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"
Stars: ✭ 18 (-84.62%)
laracombee📊 A Recombee integration for Laravel
Stars: ✭ 91 (-22.22%)
Recommendation-system推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo
Stars: ✭ 169 (+44.44%)
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
Stars: ✭ 381 (+225.64%)
TIFUKNNkNN-based next-basket recommendation
Stars: ✭ 38 (-67.52%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (+94.02%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+331.62%)
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 (+64.1%)
mudrodMining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/
Stars: ✭ 15 (-87.18%)
DeepconnThis is our implementation of DeepCoNN
Stars: ✭ 131 (+11.97%)
WSDM2022-PTUPCDRThis is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Stars: ✭ 65 (-44.44%)
Machine-LearningExamples of all Machine Learning Algorithm in Apache Spark
Stars: ✭ 15 (-87.18%)
listenbrainz-labsA collection tools/scripts to explore the ListenBrainz data using Apache Spark.
Stars: ✭ 16 (-86.32%)
raptorA lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
Stars: ✭ 34 (-70.94%)
seminarECNU ICA seminar materials
Stars: ✭ 14 (-88.03%)
Ranking PapersPapers on recommendation system / search ranking.
Stars: ✭ 29 (-75.21%)
toptal-recommenginePrototype recommendation engine built to accompany an article on Toptal Blog
Stars: ✭ 109 (-6.84%)
MachineLearningMachine learning for beginner(Data Science enthusiast)
Stars: ✭ 104 (-11.11%)
auction-website🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.
Stars: ✭ 44 (-62.39%)
News-Manager🗞news scraping and recommendation system
Stars: ✭ 14 (-88.03%)
Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
Stars: ✭ 19 (-83.76%)
data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Stars: ✭ 65 (-44.44%)
Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
Stars: ✭ 249 (+112.82%)
ethereum-privacyProfiling and Deanonymizing Ethereum Users
Stars: ✭ 37 (-68.38%)
RecommendationsystemBook recommender system using collaborative filtering based on Spark
Stars: ✭ 244 (+108.55%)
BigCLAM-ApacheSparkOverlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark
Stars: ✭ 40 (-65.81%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+74.36%)
mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Stars: ✭ 76 (-35.04%)
Django RecommendsA django app that builds item-based suggestions for users.
Stars: ✭ 194 (+65.81%)
intergoA package for interleaving / multileaving ranking generation in go
Stars: ✭ 30 (-74.36%)
NewsrecommenderA news recommendation system tailored for user communities
Stars: ✭ 164 (+40.17%)
ADER(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]
Stars: ✭ 28 (-76.07%)
RivalRiVal recommender system evaluation toolkit
Stars: ✭ 145 (+23.93%)
oh-my-papersOh-My-Papers: a Hybrid Context-aware Paper Recommendation System
Stars: ✭ 18 (-84.62%)
grblasPython wrapper around GraphBLAS
Stars: ✭ 22 (-81.2%)
JD2Skills-BERT-XMLCCode and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
Stars: ✭ 33 (-71.79%)
image embeddingsUsing efficientnet to provide embeddings for retrieval
Stars: ✭ 107 (-8.55%)