ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsView on GitHub
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
☆24Jul 7, 2022Updated 3 years ago
Alternatives and similar repositories for HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
Users that are interested in HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Nov 2, 2022Updated 3 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Nov 27, 2023Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Oct 9, 2022Updated 3 years ago
- Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems☆11Oct 19, 2023Updated 2 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Oct 29, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Feb 25, 2020Updated 6 years ago
- Particle Swarm Optimization algorithm in Python☆14Apr 23, 2024Updated 2 years ago
- ☆15Jun 4, 2024Updated last year
- To be continued☆10Jul 12, 2021Updated 4 years ago
- ☆29Feb 16, 2023Updated 3 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Dec 13, 2022Updated 3 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Jun 7, 2021Updated 4 years ago
- ☆12Jul 4, 2022Updated 3 years ago
- Multiple Sparse Graph Attention Networks for Session-based Recommendation☆12Oct 28, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆26Jun 2, 2024Updated last year
- Arbitrary Distribution Modeling with Censorship in Real Time Bidding Advertising for KDD'22☆16Mar 9, 2022Updated 4 years ago
- ☆13Nov 19, 2020Updated 5 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆71Oct 27, 2022Updated 3 years ago
- K-Means is a clustering algorithm which is used for cluster analysis in data mining; it partitions the data set into k clusters. In this …☆10Aug 19, 2017Updated 8 years ago
- WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021☆24May 8, 2021Updated 5 years ago
- GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021☆53Dec 18, 2021Updated 4 years ago
- Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.☆53Jun 26, 2023Updated 2 years ago
- Run MNIST inference in Apache Flink☆11Nov 18, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Clustering Apotek Dataset Using K-Means++ and PSO_K-Means☆10Aug 8, 2020Updated 5 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆11Jul 8, 2022Updated 3 years ago
- ☆11Oct 31, 2021Updated 4 years ago
- This is the implementation of our paper "Location-aware Deep Collaborative Filtering for Service Recommendation"☆14Nov 10, 2020Updated 5 years ago
- ☆18Oct 18, 2021Updated 4 years ago
- The realization of k-means clustering algorithm by MATLAB☆14Sep 9, 2019Updated 6 years ago
- An advanced version of K-Means using Particle swarm optimization for clustering of high dimensional data sets, which converges faster to …☆13Dec 11, 2017Updated 8 years ago
- SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.☆17Jan 30, 2020Updated 6 years ago
- Senior Capstone Project: Graph-Based Product Recommendation☆45Mar 15, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Apr 20, 2023Updated 3 years ago
- Tensorflow VGG16☆12Jul 5, 2018Updated 7 years ago
- Evaluation metrics package☆10May 21, 2025Updated last year
- Session-based Recommendation with Hypergraph Attention Networks☆17Dec 28, 2021Updated 4 years ago
- Tensorflow implementation for the HIEN☆11May 14, 2022Updated 4 years ago
- DeerSheep0314 / Re4-Learning-to-Re-contrast-Re-attend-Re-construct-for-Multi-interest-Recommendation☆23Aug 4, 2022Updated 3 years ago
- ☆51Mar 24, 2023Updated 3 years ago