fuyuanlyu / OptFS
This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.
☆10Updated last year
Alternatives and similar repositories for OptFS
Users that are interested in OptFS are comparing it to the libraries listed below
Sorting:
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 9 months ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆58Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆31Updated 9 months ago
- Code for MM'23 paper "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"☆28Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆31Updated 2 years ago
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- ☆32Updated 3 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆26Updated 2 years ago
- Code for our SIGIR 2021 short paper "Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation."☆14Updated 4 years ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆35Updated last year
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 2 years ago
- ☆103Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆104Updated 3 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆51Updated 3 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 2 years ago