---
library_name: newsrex
tags:
- news-recommendation
- pprec
- jax
- mind
datasets:
- mind
license: apache-2.0
---

# NewsReX PPREC — JAX — MIND-small

PPREC news recommendation model trained on MIND-small using the
[NewsReX](https://github.com/igor17400/NewsReX) framework (JAX).

## Test Results

| Seed | AUC | MRR | NDCG@5 | NDCG@10 |
|------|-----|-----|--------|---------|
| 123 | 0.6634 | 0.3153 | 0.3507 | 0.4134 |
| 42 * | 0.6729 | 0.3228 | 0.3601 | 0.4215 |
| 456 | 0.6665 | 0.3164 | 0.3524 | 0.4145 |
| **mean ± std** | **0.6676±0.0040** | **0.3182±0.0033** | **0.3544±0.0041** | **0.4164±0.0036** |

\* Best seed (weights at repo root)

## Experiment Configuration

```yaml
model:
  name: pprec
  architecture:
    news_encoder:
      type: multi_head_self_attention
      news_dim: 400
      num_heads: 20
      head_dim: 20
      co_num_heads: 5
      co_head_dim: 40
      attention_hidden_dim: 200
      entity_embedding_dim: 100
      category_embedding_dim: 200
    use_entity: true
    use_recency: true
    use_ctr: true
    use_activity_gate: true
    popularity_embedding_bins: 200
    popularity_embedding_dim: 400
    recency_embedding_bins: 1500
    recency_embedding_dim: 100
    ctr_scaler_init: 19.0
    pop_content_dims:
    - 256
    - 256
    - 128
    pop_recency_dims:
    - 64
    - 64
    pop_gate_dims:
    - 128
    - 64
    activity_gate_hidden_dim: 64
  embedding:
    size: 300
    trainable: true
  dropout_rate: 0.2
  seed: 42
inputs:
  title:
    max_length: 32
  history:
    max_length: 50
  impressions:
    max_length: 5
  max_entities: 5
  process_title: true
  process_abstract: false
  process_category: true
  process_subcategory: false
  process_user_id: false
training:
  loss:
    name: categorical_crossentropy
    from_logits: true
    reduction: sum_over_batch_size
    label_smoothing: 0.0
  optimizer: adam
  learning_rate: 0.0001
  batch_size: 256
  num_epochs: 20
  early_stopping:
    patience: 5
    min_improvement: 0.01
  negative_sampling:
    strategy: random
    candidates: 4
evaluation:
  mode: fast
  evaluator: pp_rec
  metrics:
  - auc
  - mrr
  - ndcg@5
  - ndcg@10
  batch_size: 256
```

## Repository Structure

```
newsrex/PPREC-JAX-MIND-small/
├── model.safetensors          ← best seed (42)
├── test_results.json
├── training_run_summary.json
├── seed_123/model.safetensors
├── seed_42/model.safetensors
├── seed_456/model.safetensors
└── README.md
```

## Usage

```bash
git clone https://github.com/igor17400/NewsReX.git
cd NewsReX && uv sync

# Run evaluation with best seed weights
uv run python src/eval.py \
    experiment=mind/pprec \
    framework=jax \
    weights=hf://newsrex/PPREC-JAX-MIND-small/model.safetensors

# Run evaluation with a specific seed
uv run python src/eval.py \
    experiment=mind/pprec \
    framework=jax \
    weights=hf://newsrex/PPREC-JAX-MIND-small/seed_42/model.safetensors
```

## Citation

```bibtex
@misc{newsrex2026,
  title={NewsReX: An Open-Source Multi-Framework for Neural News Recommendation},
  author={Igor L. R. Azevedo and Toyotaro Suzumura and Yuichiro Yasui},
  year={2025},
  eprint={2508.21572},
  archivePrefix={arXiv},
  primaryClass={cs.IR},
  url={https://arxiv.org/abs/2508.21572},
}
```