CPPRec

KO | EN

gitlite — search

#hacktoberfest #go #android #rust #deep-learning #nodejs #java #windows #awesome #vue #security #pytorch #mcp #ios

(★ 10)

This is the Pytorch implementation for our paper: Cues tell the story: cue-driven preference propagation learning for multimodal recommendation

CPPRec 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Cues Tell the Story: Cue-driven Preference Propagation Learning for Multimodal Recommendation

## Introduction

This is the Pytorch implementation for our paper: Cues Tell the Story: Cue-driven Preference Propagation Learning for Multimodal Recommendation

## Overview

The structure of our model is available for viewing in the following:

### Enviroment Requirement

Python==3.8,

Pytorch==2.0.0,

Install all requirements with ``pip install -r requirements.txt``.

## Download data

Put the Baby, Clothing, and Sports datasets and other required data into the folder ``CPPRec/data`` by downloading from this link [Google Drive](https://drive.google.com/drive/folders/1Ne8IAzYjqu9oza_J6QV7u1JUncui0yGE?usp=drive_link).

## 3. Training on a local server using PyCharm.

Run CPPRec by ``python main.py`` with the default dataset as Baby. Specific dataset selection can be modified in `main.py`.

## 4. Training on a local server using Git Bash.

Run CPPRec by ``train.\`` with the default dataset is Baby. Specific dataset selection can be modified in `train.py`.

## 5. Modify specific parameters.

You may specify other parameters in CMD or config with `configs/model/*.yaml` and `configs/dataset/*.yaml`.

## Acknowledgement

The structure of this code is  based on [MMRec](https://github.com/enoche/MMRec) and [TAMER](https://github.com/Z-last-ONE/TAMER). Thank for their work.

CPPRec

CPPRec 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

CPPRec

CPPRec 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README