massquantity / dismember
Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
☆70Updated last month
Alternatives and similar repositories for dismember
Users that are interested in dismember are comparing it to the libraries listed below
Sorting:
- ☆63Updated 4 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years 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
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- ☆40Updated 4 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- ☆51Updated 3 years ago
- This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"☆23Updated last year
- ☆81Updated 6 years ago
- [WIP] an implement of PinSage recommender system☆61Updated 5 years ago
- ☆47Updated 4 months ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆99Updated 5 years ago
- Sequential deep matching model for recommender system at Alibaba☆207Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- Deep neural network model based on the tree☆48Updated 6 years ago
- Dynamic Fair Rankings☆86Updated 2 years ago
- code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"☆31Updated 3 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…☆247Updated 3 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- DHAN code for SIGIR 2020☆46Updated 5 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆44Updated last year
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- A box of core libraries for recommendation model development☆91Updated 6 months ago