embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

Python package built to ease deep learning on graph, on top of existing DL frameworks.

deepx_core是一个专注于张量计算/深度学习的基础库

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

Heterogeneous information network representation learning

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

在搜索业务下有一个场景叫实时搜索（Instance Search）,就是在用户不断输入过程中，实时返回查询结果。 此次赛题来自OPPO手机搜索排序优化的一个子场景，并做了相应的简化，意在解决query-title语义匹配的问题。简化后，本次题目内容主要为一个实时搜索场景下query-title的ctr预估问题。

DSSM and Multi-View DSSM

An Attention-Based User Behavior Modeling Framework for Recommendation

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

中文谣言数据

Some deep learning based recsys for open learning.

Extremely fast non-cryptographic hash algorithm

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Neural Collaborative Filtering

Solution to the Outbrain Click Prediction competition

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…

Papers on Computational Advertising