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.
☆247Updated 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☆370Updated 5 months ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- This repository collects debiasing methods for recommendation☆426Updated 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…☆61Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆312Updated 2 years ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆586Updated last month
- ☆247Updated 8 months ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆252Updated 4 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆218Updated 3 years ago
- ☆289Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆443Updated last year
- code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"☆31Updated 3 years ago
- An other implementation of GRU4REC using PyTorch☆248Updated 3 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 up-to-date, comprehensive and flexible recommendation library☆203Updated last year
- Sequential deep matching model for recommender system at Alibaba☆206Updated 4 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆70Updated 3 weeks ago
- A curated collection of recommendation datasets with trackable dataset IDs☆57Updated 3 months ago
- 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
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆651Updated 5 years ago
- Download and preprocess popular sequential recommendation datasets☆206Updated 2 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆203Updated last year
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆552Updated 8 months ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆387Updated 3 years ago
- Fast Greedy MAP Inference for DPP☆125Updated 4 years ago
- 主流推荐系统Rank算法的实现☆244Updated last year