# MAN

**Repository Path**: whs075/MAN

## Basic Information

- **Project Name**: MAN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-08
- **Last Updated**: 2025-02-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Mixed Attention Network for Cross-domain Sequential Recommendation

This is our TensorFlow implementation for the paper:

Mixed Attention Network for Cross-domain Sequential Recommendation.


The code is tested under a Linux desktop with TensorFlow 1.12.3 and Python 3.6.8.



## Data Pre-processing



The script is `reco_utils/dataset/sequential_reviews.py` which can be excuted via:

```
python examples/00_quick_start/sequential.py --is_preprocessing True
```

  

## Model Training

To train our model on `Amazon` dataset (with default hyper-parameters): 

```
python examples/00_quick_start/sequential.py
```

## Misc

The implemention of self attention is modified based on *[TensorFlow framework of Microsoft](https://github.com/microsoft/recommenders)*.