KID-22 / PCIC2021-BaselinesLinks
Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation
☆17Updated 2 years ago
Alternatives and similar repositories for PCIC2021-Baselines
Users that are interested in PCIC2021-Baselines are comparing it to the libraries listed below
Sorting:
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 3 years ago
- code for RIM☆22Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- ☆15Updated 4 years ago
- an unbias-learning-to-rank dataset of Baidu☆66Updated last year
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- MAXP 命题赛 任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/☆31Updated 3 years ago
- 2021MXAP-DGL rank2☆35Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- ☆30Updated 4 years ago
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- 2019 Biendata竞赛平台“OAG–WhoIsWho 同名消歧竞赛 赛道一”消歧比赛，第一名解决方案☆39Updated 4 years ago
- ☆13Updated 4 years ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆131Updated last year
- ☆33Updated 4 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 3 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 4 years ago
- ☆24Updated 4 years ago
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆79Updated 2 years ago
- ☆41Updated 6 years ago
- Contrastive Learning for Conversion Rate Prediction☆24Updated 2 years ago
- ☆21Updated 3 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 3 years ago
- ☆53Updated last year