6002project-rl - An implemention of offline RL on recommender system

Last update: May 24, 2022

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Recommender Systems 6002project-rl

Overview

An implemention of offline RL on recommender system

@author: misajie @update: 20220123

File organization:

RecEnv
ClassicalRL
OfflineRL

In progress:

Classical off-policy models construction and application on existing environments (Recsim, Virtual Taobao)
Reconstruct simulator-free model, eg. feedrec
Modify Recsim to fit Wechat short video dataset and run off-policy models and evaluate the result
Generate reply samples from short video recommendation environment
Build classical offline models
Build original offline model
Evaluate new model
add autoML

Owner

Tzay Lee

GitHub Repository

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6002project-rl - An implemention of offline RL on recommender system

Related tags

Overview

An implemention of offline RL on recommender system

File organization:

In progress:

Owner

Tzay Lee

Graph Neural Networks for Recommender Systems

Code for MB-GMN, SIGIR 2021

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A framework for large scale recommendation algorithms.

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