pinterest / transformer_user_actionLinks
Transformer-based Realtime User Action Model for Recommendation at Pinterest
☆74Updated 2 years ago
Alternatives and similar repositories for transformer_user_action
Users that are interested in transformer_user_action are comparing it to the libraries listed below
Sorting:
- Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-rankin…☆70Updated 2 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆265Updated 3 years ago
- A curated collection of recommendation datasets with trackable dataset IDs☆74Updated 11 months ago
- A box of core libraries for recommendation model development☆91Updated last year
- ☆60Updated last year
- ☆31Updated 2 years ago
- The code of CL4CTR☆48Updated 2 years ago
- The code of GDCN☆45Updated 2 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆82Updated 3 years ago
- ☆28Updated last year
- [KDD 2026] FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction☆57Updated 2 months ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆112Updated 5 years ago
- Contrastive Learning for Cold-start Recommendation☆72Updated 4 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 5 years ago
- ☆130Updated 2 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Updated 2 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆171Updated 2 months ago
- source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted…☆31Updated 3 years ago
- End-to-end Training for Multimodal Recommendation Systems☆166Updated 11 months ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Updated 3 years ago
- The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)☆32Updated last year
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆106Updated 3 years ago
- ☆88Updated last year
- ☆68Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆80Updated 4 years ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆390Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 3 years ago
- pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"☆55Updated last year
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 3 years ago