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Chongming GAO (高崇铭)'s Projects

autodebias icon autodebias

This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

cascadesync icon cascadesync

This is the CascadeSync core code implemented by Java

cirs-codes icon cirs-codes

This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"

crslab icon crslab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deepctr-torch icon deepctr-torch

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

deepmatch icon deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

iuro icon iuro

This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"

kuairand icon kuairand

An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

kuairec icon kuairec

KwaiRec: A Fully-observed Dataset for Recommender Systems.

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

nsfc icon nsfc

nsfc - 国家自然科学基金项目LaTeX模版(青年+面上)

pace2017 icon pace2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

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