Introduction

The source code of "Preference-Aware Multimodal Contrastive Learning Recommendation Method" (PAMCL).

Environment

The Python and package managers version are:

• Python 3.9.19
• mamba 1.5.8
• conda 24.3.0

Use conda/mamba or pixi (Recommend) to install the environment:

conda env create -f environment.yml

pixi install

Datasets

Download from google drive.

Pre-trained models

• Vision: openai/clip-vit-base-patch32
• Text: bennegeek/stella_en_1.5B_v5

Warning

Use bennegeek/stella_en_1.5B_v5 to generate text embeddings requires flash-attn which needs a CUDA version of at least 11.6, as indicated by nvcc -V.

Contributions

This project is forked from the original SELFRec. We would like to express our gratitude to Coder-Yu and his team for their outstanding work and open-source contributions.

The main changes are:

• Support multi-modal datasets
• Use Large Language Models to enhance presentations
• Update some deprecated APIs
• Improve code readability by type hint and docstrings
• Refactor some modules