jdcomsearch / jd-pretrain-data
An open-source dataset for e-commerce user intent detection and embedding retrieval
☆23Updated 2 years ago
Alternatives and similar repositories for jd-pretrain-data:
Users that are interested in jd-pretrain-data are comparing it to the libraries listed below
- 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
- 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
- Sequential deep matching model for recommender system at Alibaba☆206Updated 4 years ago
- This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"☆23Updated last year
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 6 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆102Updated 4 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 4 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆70Updated 3 weeks ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- ☆81Updated 6 years 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
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- ☆61Updated 9 months ago
- This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.☆90Updated 4 years ago
- code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"☆31Updated 3 years ago
- ☆63Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- A box of core libraries for recommendation model development☆91Updated 6 months ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- ☆44Updated 4 years ago
- Microsoft News Dataset☆119Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆53Updated 6 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- [WIP] an implement of PinSage recommender system☆61Updated 5 years ago
- LambdaRank Neural Network model using Keras.☆86Updated 5 years ago
- DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System☆66Updated 2 years ago