fuyuanlyu / OptFSLinks
This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.
☆12Updated last year
Alternatives and similar repositories for OptFS
Users that are interested in OptFS are comparing it to the libraries listed below
Sorting:
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆106Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- ☆112Updated 5 months ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆25Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆106Updated last year
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆139Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆69Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- This repository is contains several Automated feature selection methods in CTR Predicition.☆10Updated 2 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆114Updated 3 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆34Updated 2 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆41Updated 3 years ago
- This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an opti…☆74Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆93Updated 4 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- Code for MM'23 paper "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"☆30Updated last year
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆202Updated last year
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- ☆33Updated 3 years ago