Information Retrieval Group, Wuhan University, China

CARP

The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216

PPVAE

The official Keras implementation of ACL 2020 paper "Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders".

MATINF

The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".

DAZER

The Tensorflow implementation of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering", Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen, http://aclweb.org/anthology/P18-1214

DiffuRec

CARL

The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988

PPGN

The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.org/10.1145/3357384.3358166

RAGE

The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.

ME-CNER

Code for CIKM 2019 paper "Exploiting Multiple Embeddings for Chinese Named Entity Recognition".

MGNM

Open source data and code of the MGNM

PARL

The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695

CATN

The implementation of our SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun

MGS

STM

The implementation of 'Effective Document Labeling with Very Few Seed Words: A Topic Modeling Approach', Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma, https://doi.org/10.1145/2983323.2983721

RNS

This repository is the implementation of "A Review-Driven Neural Model for Sequential Recommendation", Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan, https://www.ijcai.org/proceedings/2019/397

KOPRA

GPUDMM

The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)

SATM

Our Java implementation of Self-Aggregation-Based Topic Model (SATM)

BTM

Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)

GSDMM

Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)

topic-evolution-on-social-media

A collection of papers for topic evolution on social media.

DFC

The java implementation of "Seed-Guided Topic Model for Document Filtering and Classification ", TOIS 2018.

PDMM

The java implementation of "Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings" TOIS 2017, Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma, https://dl.acm.org/citation.cfm?doid=3133943.3091108

SMTM

This is the java implementation of paper "Multi-label Dataless Text Classification with Topic Modeling", Daochen Zha, Chenliang Li, https://arxiv.org/abs/1711.01563

Cheese-LLM

Maria

Miracle

UMI

cikm2023_DenoisingRec_tutorial

(CIKM2023)Tutorial: Data Denoising Metrics in Recommender Systems