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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <pre style="
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+ font-family:'Courier New',Courier,monospace;
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+ font-size:clamp(3.5px,0.82vw,10px);
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+ background-image:linear-gradient(
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+ #FFFFFF 55%,
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+ #FFCF48 70%,
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+ #FF8C42 85%,
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+ #FF6B6B 100%
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+ );
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+ ">β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ•—
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+ β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β•β•β•β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ•‘
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+ β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β–ˆβ–ˆβ–ˆβ–ˆβ•”β–ˆβ–ˆβ•‘
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+ β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β• β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ•‘
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+ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘ β•šβ•β• β–ˆβ–ˆβ•‘
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+ β•šβ•β•β•β•β•β• β•šβ•β• β•šβ•β•β•šβ•β•β•β•β•β•β•β•šβ•β• β•šβ•β•β•šβ•β• β•šβ•β•
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+
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+ β–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•— β–ˆβ–ˆβ•—β–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—
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+ β–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β•β•β•β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β•β•β•
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+ β–ˆβ–ˆβ•”β–ˆβ–ˆβ–ˆβ–ˆβ•”β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β–ˆβ–ˆβ•— β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—
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+ β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β•
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+ β–ˆβ–ˆβ•‘ β•šβ•β• β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘ β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘ β•šβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—
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+ β•šβ•β• β•šβ•β•β•šβ•β• β•šβ•β• β•šβ•β•β•β•β•β•β•šβ•β• β•šβ•β•β•šβ•β•β•šβ•β• β•šβ•β•β•β•β•šβ•β•β•β•β•β•β•</pre>
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+ </div>
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+
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+ <div align="center">
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+
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+ <p style="font-size:1.6em;font-weight:900;letter-spacing:0.04em;margin:0.2em 0 0.1em;">
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+ ✨ DreamMachine Research ✨
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+ </p>
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+
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+ <p style="font-size:1.05em;font-weight:500;color:#aaa;margin:0 0 1em;">
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+ Billion-Item Neural Recommendation Β· Industrial AI Β· Open Research
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+ </p>
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+
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+ [![Model](https://img.shields.io/badge/πŸ€—%20Model-Dream--Machine--08--09-FF8C42?style=for-the-badge)](https://huggingface.co/dream-machine-ai/Dream-Machine-08-09)
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+ [![Dataset](https://img.shields.io/badge/πŸ€—%20Dataset-Dream--Machine--08--09--Dataset-FFCF48?style=for-the-badge&labelColor=555)](https://huggingface.co/datasets/dream-machine-ai/Dream-Machine-08-09-Dataset)
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+ [![Space](https://img.shields.io/badge/🌟%20Space-DreamMachine--AI-3b82f6?style=for-the-badge)](https://huggingface.co/spaces/dream-machine-ai/)
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+ [![Paper](https://img.shields.io/badge/πŸ“„%20Paper-Zenodo%2021906715-8b5cf6?style=for-the-badge)](https://doi.org/10.5281/zenodo.21906715)
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+ [![GitHub](https://img.shields.io/badge/πŸ’»%20GitHub-Dream--Machine-24292e?style=for-the-badge&logo=github)](https://github.com/When-Summer-Understands-Winter/Dream-Machine/)
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+ [![License](https://img.shields.io/badge/License-CC%20BY--NC%204.0-ed6c02?style=for-the-badge&logo=creativecommons&logoColor=white)](https://creativecommons.org/licenses/by-nc/4.0/)
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+
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+ <br/>
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+
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+ > *"We build the magic shop β€” the AI that knows exactly what you want before you do."*
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+
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+ **[πŸ€— Models](#-models)** &nbsp;Β·&nbsp;
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+ **[πŸ“¦ Datasets](#-datasets)** &nbsp;Β·&nbsp;
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+ **[🌟 Spaces](#-spaces)** &nbsp;·&nbsp;
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+ **[πŸ“„ Research](#-research)** &nbsp;Β·&nbsp;
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+ **[βš–οΈ License](#️-license)**
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+
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+ </div>
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+
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  ---
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+
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+ ## ✦ Our Mission
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+
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+ ```
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+ ╔══════════════════════════════════════════════════════════════════════╗
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+ β•‘ ✦ 10¹⁰-item scale β€” recommend from billion-item catalogues β•‘
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+ β•‘ ✦ Open research β€” weights, data, code, paper all public β•‘
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+ β•‘ ✦ Reproducible β€” every result in the paper can be verified β•‘
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+ β•‘ ✦ Production-grade β€” from laptop to 250 Γ— A100 cluster unchanged β•‘
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+ β•‘ ✦ Community-first β€” CC BY-NC 4.0, free for academic use β•‘
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+ β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
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+ ```
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+
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  ---
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+ ## πŸ€— Models
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+
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+ ### [Dream-Machine-08-09](https://huggingface.co/dream-machine-ai/Dream-Machine-08-09)
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+
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+ > **Billion-Item Neural Recommendation Sorcerer** β€” Multi-Hash Transformer Dual-Tower with RAG-Enhanced Recall
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+
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+ | Property | Value |
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+ |:---------|:------|
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+ | Architecture | Dual-Tower Transformer (Item + User) |
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+ | Scale | Up to 10¹⁰ items, 10¹⁰ users |
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+ | Embedding | Multi-Hash K=3, B=50K buckets |
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+ | Layers | L=2 Transformer, H=8 heads, d=128 |
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+ | Retrieval | FAISS HNSW, ≀ 100 ms P99 |
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+ | **AUC** | **0.4849** Β· HR@10 **1.0** Β· NDCG@10 **0.537** |
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+ | Format | `safetensors` Β· `transformers`-compatible |
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+
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+ ```python
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+ from transformers import AutoModel
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+ model = AutoModel.from_pretrained(
105
+ "dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True
106
+ ).eval()
107
+ ```
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+
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+ **[β†’ View Model Card](https://huggingface.co/dream-machine-ai/Dream-Machine-08-09)**
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+
111
+ ---
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+
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+ ## πŸ“¦ Datasets
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+
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+ ### [Dream-Machine-08-09-Dataset](https://huggingface.co/datasets/dream-machine-ai/Dream-Machine-08-09-Dataset)
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+
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+ > **E-Commerce Synthetic Dataset** β€” JD / Taobao schema, fully reproducible, zero real PII
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+
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+ | Split | Records | Format | Description |
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+ |:------|--------:|:------:|:------------|
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+ | `products` | 1,000 | JSONL | SKU catalogue β€” price, brand, category, attributes |
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+ | `users` | 1,000 | JSONL | User profiles β€” demographics, interests, spending |
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+ | `behaviors` | 5,000 | JSONL | Click / purchase / rating events |
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+
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+ ```python
126
+ from datasets import load_dataset
127
+ products = load_dataset(
128
+ "dream-machine-ai/Dream-Machine-08-09-Dataset",
129
+ name="products", split="train"
130
+ )
131
+ ```
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+
133
+ **[β†’ View Dataset Card](https://huggingface.co/datasets/dream-machine-ai/Dream-Machine-08-09-Dataset)**
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+
135
+ ---
136
+
137
+ ## 🌟 Spaces
138
+
139
+ ### [dream-machine-ai / README](https://huggingface.co/spaces/dream-machine-ai/README)
140
+
141
+ Interactive landing page β€” no installation required.
142
+ Explore the model architecture, scaling law charts, and end-to-end deployment guide.
143
+
144
+ **[β†’ Open Space](https://huggingface.co/spaces/dream-machine-ai/)**
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+
146
+ ---
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+
148
+ ## πŸ“„ Research
149
+
150
+ ### DreamMachine: A Billion-Item Neural Recommendation Sorcerer
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+
152
+ > Wen, Fangjun Β· DreamMachine Research Team Β· August 2026
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+ > DOI: [10.5281/zenodo.21906715](https://doi.org/10.5281/zenodo.21906715)
154
+
155
+ **Seven original contributions:**
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+
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+ | # | Contribution | Key Formula |
158
+ |:-:|:-------------|:------------|
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+ | C1 | Multi-Hash Transformer Dual-Tower | Ξ΅_eff = (1 βˆ’ e^{βˆ’N/2B})^K |
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+ | C2 | Hierarchical Feature Architecture | ID β†’ sparse β†’ dense numeric |
161
+ | C3 | RAG-Enhanced Multi-Channel Recall | FAISS IVF-PQ + CF + rules |
162
+ | C4 | Cross-Attention Listwise Re-ranker | CTR / CVR / dwell-time |
163
+ | C5 | Uncertainty-Weighted InfoNCE | Learnable Οƒ_kΒ² per task |
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+ | C6 | Closed-Form Scaling Laws | 9 breakpoints 10Β² β†’ 10¹⁰ |
165
+ | C7 | Production Serving Stack | FastAPI + ONNX + INT8 |
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+
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+ ```bibtex
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+ @techreport{wen2026dreammachine,
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+ title = {Magic Shop at Scale: Dream-Machine --- A Billion-Item
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+ Real-Time Neural Recommendation Sorcerer},
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+ author = {Wen, Fangjun},
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+ year = {2026},
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+ institution = {DreamMachine Research Team},
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+ doi = {10.5281/zenodo.21906715},
175
+ url = {https://doi.org/10.5281/zenodo.21906715},
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+ note = {Technical Report, August 2026. arXiv cs.IR / cs.LG}
177
+ }
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+ ```
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+
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+ ---
181
+
182
+ ## πŸš€ Quick Start
183
+
184
+ ```bash
185
+ pip install transformers torch faiss-cpu huggingface_hub datasets
186
+ ```
187
+
188
+ ```python
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+ # 1. Load model
190
+ from transformers import AutoModel, AutoFeatureExtractor
191
+ model = AutoModel.from_pretrained(
192
+ "dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True
193
+ ).eval()
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+
195
+ # 2. Load dataset
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+ from datasets import load_dataset
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+ ds = load_dataset("dream-machine-ai/Dream-Machine-08-09-Dataset",
198
+ name="products", split="train")
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+
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+ # 3. Start inference server
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+ # git clone https://huggingface.co/dream-machine-ai/Dream-Machine-08-09
202
+ # python serve_hf.py --model_dir ./hf_model --port 8000
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+ ```
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+
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+ ---
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+
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+ ## πŸ”— All Resources
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+
209
+ | Resource | Link |
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+ |:---------|:-----|
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+ | πŸ€— **Model** | [dream-machine-ai/Dream-Machine-08-09](https://huggingface.co/dream-machine-ai/Dream-Machine-08-09) |
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+ | πŸ“¦ **Dataset** | [dream-machine-ai/Dream-Machine-08-09-Dataset](https://huggingface.co/datasets/dream-machine-ai/Dream-Machine-08-09-Dataset) |
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+ | 🌟 **Space** | [spaces/dream-machine-ai](https://huggingface.co/spaces/dream-machine-ai/) |
214
+ | 🏒 **Org** | [huggingface.co/DreamMachine-AI](https://huggingface.co/DreamMachine-AI) |
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+ | πŸ“„ **Paper** | [Zenodo 10.5281/zenodo.21906715](https://doi.org/10.5281/zenodo.21906715) |
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+ | πŸ’» **GitHub** | [When-Summer-Understands-Winter/Dream-Machine](https://github.com/When-Summer-Understands-Winter/Dream-Machine/) |
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+
218
+ ---
219
+
220
+ ## βš–οΈ License
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+
222
+ All models, datasets, and code published by DreamMachine Research are licensed under the
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+ **Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)**.
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+
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+ | βœ… Permitted | ❌ Prohibited |
226
+ |:---|:---|
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+ | Academic research & publication | Commercial products or services |
228
+ | Personal learning & experimentation | Revenue-generating deployments |
229
+ | Non-commercial derivative works | Sublicensing for profit |
230
+ | Citing in papers with attribution | Any business use without written permission |
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+
232
+ > **Commercial use of any kind β€” including integrating model weights, code, or outputs into a product or service β€” requires explicit prior written consent from the author (Fangjun Wen).**
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+ > Contact: fangjunwen168@outlook.com
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+
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+ [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-ed6c02?style=for-the-badge&logo=creativecommons&logoColor=white)](https://creativecommons.org/licenses/by-nc/4.0/)
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+
237
+ ---
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+
239
+ <div align="center">
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+
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+ <p style="font-size:1.05em;font-weight:700;margin:0.5em 0 0.3em;">
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+ πŸ€— <a href="https://huggingface.co/dream-machine-ai/Dream-Machine-08-09">Model</a> &nbsp;Β·&nbsp;
243
+ πŸ“¦ <a href="https://huggingface.co/datasets/dream-machine-ai/Dream-Machine-08-09-Dataset">Dataset</a> &nbsp;Β·&nbsp;
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+ 🌟 <a href="https://huggingface.co/spaces/dream-machine-ai/">Space</a> &nbsp;·&nbsp;
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+ πŸ“„ <a href="https://doi.org/10.5281/zenodo.21906715">Paper</a> &nbsp;Β·&nbsp;
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+ πŸ’» <a href="https://github.com/When-Summer-Understands-Winter/Dream-Machine/">GitHub</a>
247
+ </p>
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+
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+ **DreamMachine Research Team** Β· Fangjun Wen Β· August 2026
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+
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+ `// built with focus Β· DreamMachine Research`
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+
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+ </div>