andrewsama / cidf-master

Correlation-guided Information Deep Fusion for Multi-modal Recommendation

The implementation code will be released after the acceptance of the paper.

This is the PyTorch implementation for CIDF proposed in the paper Correlation-guided Information Deep Fusion for Multi-modal Recommendation.

Gang-Feng Ma, Xu-Hua Yang, Haixia Long, Xin-Li Xu, Xiao-Xin Li, Peng Jiang. 2024.

2. Running environment

We develop our codes in the following environment:

• python==3.7.10
• numpy==1.19.2
• pandas==1.12.3
• scipy==1.6.0
• tqdm==4.59.0
• torch==1.8.1

3. Datasets

Dataset	# User	# Items	# Interaction	Sparsity
Baby	19,445	7,050	160,792	99.883%
Sports	35,598	18,357	296,337	99.955%
Clothing	39,387	23,033	278,677	99.969%

4. How to run the codes

run.sh