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:
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 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
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆130Updated 6 months ago
- ☆41Updated 6 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- ☆15Updated 4 years ago
- an unbias-learning-to-rank dataset of Baidu☆64Updated last year
- ☆33Updated 3 years ago
- This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…☆28Updated last year
- ☆30Updated 4 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- ☆96Updated 3 years ago
- Meta-learning-based Cold-Start Sequential Recommendation☆16Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated 2 years ago
- An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.☆50Updated 5 years ago
- ☆24Updated 3 years ago
- KHGT, AAAI 2021☆59Updated 2 years ago
- code for RIM☆22Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- ☆49Updated last year
- This is our implementation of IntEL-Intent-aware Ranking Ensemble for Personalized Recommendation (SIGIR2023)☆22Updated last year
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆33Updated 4 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆161Updated 7 months ago