This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
☆40Oct 29, 2019Updated 6 years ago
Alternatives and similar repositories for InterHAt
Users that are interested in InterHAt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Sep 4, 2023Updated 2 years ago
- ☆18Oct 18, 2021Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Dec 7, 2021Updated 4 years ago
- ☆41Feb 6, 2021Updated 5 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Jul 7, 2022Updated 3 years ago
- personalized recommendation☆12Mar 26, 2020Updated 5 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Jul 31, 2020Updated 5 years ago
- ☆15Jun 2, 2021Updated 4 years ago
- Distributed Factorization Machines and LR with ps-lite☆10Sep 27, 2017Updated 8 years ago
- ☆24Jun 5, 2021Updated 4 years ago
- Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”☆16Aug 23, 2021Updated 4 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62May 20, 2020Updated 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…☆106Apr 8, 2022Updated 3 years ago
- DHAN code for SIGIR 2020☆44May 15, 2020Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Feb 6, 2020Updated 6 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Aug 22, 2021Updated 4 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆87Apr 24, 2024Updated last year
- 利用图神经网络进行CTR预估☆15Nov 22, 2019Updated 6 years ago
- ☆291Oct 11, 2019Updated 6 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Sep 22, 2020Updated 5 years ago
- ☆16May 31, 2017Updated 8 years ago
- ☆36Oct 20, 2020Updated 5 years ago
- SIGIR 2021: Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals☆11Jul 30, 2021Updated 4 years ago
- It is deep recommendation model with attribute-level co-attention, which has been accepted as a short paper in SIGIR2020.☆10Aug 13, 2020Updated 5 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Oct 30, 2023Updated 2 years ago
- An Implementation of NLR: Neural Collaborative Reasoning, paper: https://arxiv.org/abs/2005.08129☆21Sep 3, 2020Updated 5 years ago
- This project is to formalise the iPinYou RTB data into a standard format for further researches.☆24Mar 27, 2022Updated 3 years ago
- [ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"☆10Apr 26, 2024Updated last year
- Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'☆20Jul 31, 2021Updated 4 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Mar 16, 2021Updated 5 years ago
- ☆30Jun 4, 2021Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Sep 18, 2020Updated 5 years ago
- Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".☆15Jun 26, 2024Updated last year
- This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-t…☆18Oct 23, 2023Updated 2 years ago
- Fast model deployment on AWS Sagemaker☆16Feb 25, 2024Updated 2 years ago
- ☆11Jun 10, 2022Updated 3 years ago
- code for RIM☆22Nov 18, 2022Updated 3 years ago
- A box of core libraries for recommendation model development☆91Oct 20, 2024Updated last year
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Jan 12, 2024Updated 2 years ago