recommendation

#计算机科学#Best Practices on Recommendation Systems

#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

#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

#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.

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

#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.

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

An LLM driven recommendation system based on Radarr and Sonarr library or watch history information

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