https://github.com/kyegomez/tiktokx

Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.
https://github.com/kyegomez/tiktokx

algorithms artificial-intelligence attention-mechanism recommender recommender-engine recommender-system tiktok transformer-architecture

Last synced: 3 months ago
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Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.

• Host: GitHub
• URL: https://github.com/kyegomez/tiktokx
• Owner: kyegomez
• License: mit
• Created: 2023-08-15T03:33:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-18T03:43:07.000Z (over 1 year ago)
• Last Synced: 2024-04-14T03:24:18.526Z (10 months ago)
• Topics: algorithms, artificial-intelligence, attention-mechanism, recommender, recommender-engine, recommender-system, tiktok, transformer-architecture
• Language: Python
• Homepage: https://discord.gg/qUtxnK2NMf
• Size: 229 KB
• Stars: 8
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# TikTokX: Multi-Modal Recommentation Algorithm

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Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.

## Installation

```pip install tiktokx```

---

## Usage

To start training and inference:

```bash

python example.py --dataset {DATASET}

```

Supported datasets include `Amazon-Baby`, `Amazon-Sports`, `Tiktok`, and `Allrecipes`.

----

## Datasets

Dataset specifications are tabulated below:

| Dataset      | Modality | Embed Dim | User  | Item  | Interactions | Sparsity |

|--------------|:--------:|:---------:|:-----:|:-----:|:------------:|:--------:|

| Amazon       | V  T     | 4096 1024 | 35598 | 18357 | 256308       | 99.961%  |

| Tiktok       | V  A  T  | 128  128  768 | 9319  | 6710  | 59541        | 99.904%  |

| Allrecipes   | V  T     | 2048 20   | 19805 | 10067 | 58922        | 99.970%  |

Datasets can be accessed from [Google Drive](https://drive.google.com/drive/folders/1AB1RsnU-ETmubJgWLpJrXd8TjaK_eTp0?usp=share_link). Note: The official website for the `Tiktok` dataset is no longer available. However, we've processed and made available various versions of the [Tiktok dataset](https://drive.google.com/drive/folders/1hLvoS7F0R_K0HBixuS_OVXw_WbBxnshF?usp=share_link). Kindly cite our work if you utilize our preprocessed Tiktok dataset.