#计算机科学#Best Practices on Recommendation Systems
翻译 - 推荐系统的最佳做法
#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 基于深度学习的CTR模型的易于使用,模块化和可扩展的软件包。
#自然语言处理#Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
#计算机科学#A Python scikit for building and analyzing recommender systems
翻译 - 用于构建和分析推荐系统的Python scikit
#计算机科学#Fast Python Collaborative Filtering for Implicit Feedback Datasets
#计算机科学#Classic papers and resources on recommendation
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
翻译 - 用于推荐和广告的深度匹配模型库。训练模型和导出用户和项目的表示向量非常容易,可用于ANN搜索。
#计算机科学#基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
#计算机科学#An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
翻译 - 一个基于Tensorflow的基于深度学习的推荐开源工具包。
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
#计算机科学#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
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Neural Graph Collaborative Filtering, SIGIR2019
This repository includes some papers that I have read or which I think may be very interesting.
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
#计算机科学#CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
#计算机科学#OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms