Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
☆100Mar 31, 2020Updated 5 years ago
Alternatives and similar repositories for MetaEmbedding
Users that are interested in MetaEmbedding are comparing it to the libraries listed below
Sorting:
- ☆184Oct 1, 2019Updated 6 years ago
- Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"☆180Jan 11, 2024Updated 2 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Aug 9, 2021Updated 4 years ago
- Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.☆25Aug 17, 2021Updated 4 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Jul 25, 2024Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Aug 19, 2020Updated 5 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Apr 28, 2020Updated 5 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Dec 8, 2022Updated 3 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Mar 16, 2021Updated 5 years ago
- ☆20Aug 18, 2021Updated 4 years ago
- This is the official code of GAR.☆23Jan 17, 2023Updated 3 years ago
- ☆24Jun 5, 2021Updated 4 years ago
- ☆11Oct 9, 2021Updated 4 years ago
- Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.☆15Dec 11, 2020Updated 5 years ago
- Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Brian…☆51Jan 10, 2022Updated 4 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Jul 31, 2020Updated 5 years ago
- Convolutional Neural Network for Click-Through Rate prediction.☆15Sep 28, 2016Updated 9 years ago
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Dec 10, 2020Updated 5 years ago
- ☆61Jul 25, 2024Updated last year
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆123Oct 19, 2023Updated 2 years ago
- ☆291Oct 11, 2019Updated 6 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Feb 22, 2022Updated 4 years ago
- ☆21Nov 9, 2021Updated 4 years ago
- An unofficial pytorch implementation of MELU☆46Aug 7, 2024Updated last year
- RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta lea…☆25Feb 8, 2023Updated 3 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Oct 30, 2023Updated 2 years ago
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆129Jun 22, 2021Updated 4 years ago
- Contrastive Learning for Cold-start Recommendation☆72Nov 5, 2021Updated 4 years ago
- An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"☆12May 11, 2019Updated 6 years ago
- Breezedeus's Blog☆17Jul 4, 2023Updated 2 years ago
- Rank9 IJCAI-18 阿里妈妈搜索广告转化预测 第一赛季☆10Aug 22, 2018Updated 7 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆209Sep 13, 2019Updated 6 years ago
- ☆10Jul 28, 2020Updated 5 years ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,390Jul 2, 2024Updated last year
- Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad…☆13Apr 15, 2020Updated 5 years ago
- ☆33Dec 13, 2020Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆308Sep 23, 2021Updated 4 years ago
- Orthant-Wise Limited-memory Quasi-Newton Optimizer for L1-regularized Objectives☆10Mar 9, 2014Updated 12 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Jun 22, 2021Updated 4 years ago