LibRerank-Community / LibRerank
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
☆246Updated 3 years ago
Alternatives and similar repositories for LibRerank:
Users that are interested in LibRerank are comparing it to the libraries listed below
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆368Updated 4 months ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆290Updated 3 years ago
- Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-rankin…☆60Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆311Updated 2 years ago
- This repository collects debiasing methods for recommendation☆417Updated last year
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆438Updated last year
- ☆240Updated 6 months ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆103Updated 2 years ago
- A box of core libraries for recommendation model development☆91Updated 5 months ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆572Updated 2 weeks ago
- ☆287Updated 5 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆248Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆204Updated 4 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆218Updated 3 years ago
- 主流推荐系统Rank算法的实现☆231Updated last year
- An up-to-date, comprehensive and flexible recommendation library☆197Updated last year
- code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"☆30Updated 3 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 4 years ago
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆642Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆235Updated 5 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- Deep-Learning based CTR models implemented by PyTorch☆251Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆113Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆202Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆49Updated last year
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆110Updated 4 years ago
- Download and preprocess popular sequential recommendation datasets☆203Updated 2 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆109Updated last year