LibRerank-Community / LibRerankLinks
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.
☆262Updated 3 years ago
Alternatives and similar repositories for LibRerank
Users that are interested in LibRerank are comparing it to the libraries listed below
Sorting:
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆378Updated 10 months ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆604Updated 6 months ago
- This repository collects debiasing methods for recommendation☆441Updated last year
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆297Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- A curated collection of recommendation datasets with trackable dataset IDs☆62Updated 7 months ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- Fast Greedy MAP Inference for DPP☆129Updated 5 years ago
- ☆259Updated last year
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- A box of core libraries for recommendation model development☆90Updated 10 months ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- ☆30Updated 4 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆111Updated 4 years ago
- An other implementation of GRU4REC using PyTorch☆249Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- SASRec: Self-Attentive Sequential Recommendation☆847Updated 2 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆72Updated 4 months ago
- ☆45Updated 4 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆54Updated last year
- Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-rankin…☆66Updated 2 years ago
- Download and preprocess popular sequential recommendation datasets☆211Updated 2 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆258Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆221Updated 4 years ago