rank2rec / rerankLinks
☆83Updated 6 years ago
Alternatives and similar repositories for rerank
Users that are interested in rerank are comparing it to the libraries listed below
Sorting:
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆100Updated 5 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- ☆54Updated 6 years ago
- ☆47Updated 4 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆114Updated last year
- DHAN code for SIGIR 2020☆45Updated 5 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆179Updated 4 years 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
- ☆83Updated 6 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.☆90Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆51Updated 6 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated 2 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆140Updated 6 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆77Updated 7 years ago
- ☆66Updated 4 years ago
- ☆61Updated last year
- Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"☆179Updated last year
- ☆71Updated 5 years ago
- 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
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago