Guider
- Type
- Open source
- Year
- 2025
- Status
- active
The official implementation of a guided-calibration framework for denoising multimodal recommender systems.
Guider addresses noisy visual and textual signals in multimodal recommendation. Its guided-calibration design can be attached to different recommender backbones rather than requiring a single fixed architecture.
The repository contains the PyTorch implementation used for the WSDM 2025 paper, along with training configuration and instructions for reproducing the experiments.