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flink-reinforcement-learning

Recommender system based on Flink and Reinforcement Learning

fuxictr

A configurable, tunable, and reproducible library for CTR prediction

gift-graph-guided-feature-transfer-network

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

graphrec_pytorch

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

hccf

HCCF, SIGIR 2022

hirs-detecting_arbitrary_order_beneficial_feature_interactions_for_recommender_systems

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022

hmt-grn

icml-2020-msbcb

Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

irgpr_cikm_2020

图模型在重排上的应用

kgcl-sigir22

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

knowledge_graph_based_intent_network

KGIN

macr

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System, KDD 2021

mail

无障碍 写文章 登录/注册 CIKM'21「网易」新用户冷启动：MAIL生成虚拟用户交互表征Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learnin CIKM'21「网易」新用户冷启动：MAIL生成虚拟用户交互表征Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learnin

mbht-kdd22

melu

metacvr

元学习缓解小规模推荐中数据分布波动问题

metaheac

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

metakgr

Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"

mfh

Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems

milvus-item-base-recommend

This project combines milvus and bert to implement an item-based text recommendation system.

mixgcf

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

mkr

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

morse

Source code for the SIGIR 2022 paper "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding"

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

ncl

[WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

open-ctr-benchmark

Open benchmarking for CTR prediction https://openbenchmark.github.io/ctr-prediction

openne

An Open-Source Package for Network Embedding (NE)

opensearch

🔎 Open source distributed and RESTful search engine.