Ramsey's repositories
A-Dynamic-Meta-Learning-Model-for-Time-Sensitive-Cold-Start-Recommendations
A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently
AIOps-archive
AIOps paper, project, Lab archive
ark-nlp
A private nlp coding package, which quickly implements the SOTA solutions.
causal-inspection
A Scikit-learn inspired inspection module for causal models.
cfor
Scala cfor macro, like a java for-loop
CIRS-codes
This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
DeBERTa
飞浆论文复现
dingdong-helper
叮咚自动下单 并发调用接口方式 多人高峰期实战反馈10秒以内成功 自动将购物车能买的商品全部下单 只需自行编辑购物车和最后支付即可
easyexcel
快速、简洁、解决大文件内存溢出的java处理Excel工具
Event-Extraction
近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
GAIIC2022-Product-Title-Entity-Recognition-Baseline
GAIIC2022商品标题实体识别Baseline，使用GlobalPointer实现，线上0.8019
galileo
Galileo library for large scale graph training by JD
Graph4DIV
SIGIR 2021: Modeling Intent Graph for Search Result Diversification
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
LibRerank
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
MAVE
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
NNR
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
product_attribute_summary
product automatic attributes discovery and summary
query2labels
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".
sccl
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
SHPJF
[DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".
WSDM2021_NSM
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
XRec
Models for explainable recommendation.