{
  "schema_version": 2,
  "method": "mima",
  "dataset": "MovieLens 100K",
  "seeds": [
    42,
    43,
    44
  ],
  "runs": [
    {
      "paper": {
        "arxiv_id": "2609.12842",
        "title": "MIMA: Multi-Interest Recommendation via Multi-Positive Exclusive Assignment",
        "url": "https://arxiv.org/abs/2609.12842",
        "organization": "Alibaba International Digital Commerce Group"
      },
      "dataset": {
        "name": "MovieLens 100K",
        "users": 220,
        "items": 360
      },
      "setup": {
        "adapter": "mima",
        "same_split_and_candidates": true,
        "seed": 42
      },
      "baseline": {
        "name": "transition + content + popularity",
        "hit_at_10": 0.10909090909090909,
        "ndcg_at_10": 0.05400546778896325,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.23772727272727273
      },
      "method": {
        "name": "mima executable mechanism",
        "hit_at_10": 0.09545454545454546,
        "ndcg_at_10": 0.045885865647856926,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.195
      },
      "relative": {
        "hit_at_10_percent": -12.499999999999991,
        "ndcg_at_10_percent": -15.034777909590991,
        "fresh_hit_at_10_percent": 0.0,
        "head_share_at_10_percent": -17.97323135755258
      },
      "stages": {
        "exclusive_assignments": 8,
        "activation_sum": 1.0,
        "one_to_one": true,
        "validation_only_alpha": 0.1,
        "validation_metrics": {
          "hit_at_10": 0.10909090909090909,
          "ndcg_at_10": 0.05478472051586772,
          "fresh_hit_at_10": 0.05263157894736842,
          "head_share_at_10": 0.2040909090909091
        }
      },
      "paper_results": {
        "transaction_count_lift_percent": 5.6,
        "transaction_amount_lift_percent": 5.44
      },
      "scope": "公开序列执行多正例一对一匹配、互补兴趣更新与 activation calibration；用分段特征替代生产 causal Transformer 与请求日志。",
      "manifest_ref": "reproduction:mima"
    },
    {
      "paper": {
        "arxiv_id": "2609.12842",
        "title": "MIMA: Multi-Interest Recommendation via Multi-Positive Exclusive Assignment",
        "url": "https://arxiv.org/abs/2609.12842",
        "organization": "Alibaba International Digital Commerce Group"
      },
      "dataset": {
        "name": "MovieLens 100K",
        "users": 220,
        "items": 360
      },
      "setup": {
        "adapter": "mima",
        "same_split_and_candidates": true,
        "seed": 43
      },
      "baseline": {
        "name": "transition + content + popularity",
        "hit_at_10": 0.10909090909090909,
        "ndcg_at_10": 0.05400546778896325,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.23772727272727273
      },
      "method": {
        "name": "mima executable mechanism",
        "hit_at_10": 0.09545454545454546,
        "ndcg_at_10": 0.045885865647856926,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.195
      },
      "relative": {
        "hit_at_10_percent": -12.499999999999991,
        "ndcg_at_10_percent": -15.034777909590991,
        "fresh_hit_at_10_percent": 0.0,
        "head_share_at_10_percent": -17.97323135755258
      },
      "stages": {
        "exclusive_assignments": 8,
        "activation_sum": 1.0,
        "one_to_one": true,
        "validation_only_alpha": 0.1,
        "validation_metrics": {
          "hit_at_10": 0.10909090909090909,
          "ndcg_at_10": 0.05478472051586772,
          "fresh_hit_at_10": 0.05263157894736842,
          "head_share_at_10": 0.2040909090909091
        }
      },
      "paper_results": {
        "transaction_count_lift_percent": 5.6,
        "transaction_amount_lift_percent": 5.44
      },
      "scope": "公开序列执行多正例一对一匹配、互补兴趣更新与 activation calibration；用分段特征替代生产 causal Transformer 与请求日志。",
      "manifest_ref": "reproduction:mima"
    },
    {
      "paper": {
        "arxiv_id": "2609.12842",
        "title": "MIMA: Multi-Interest Recommendation via Multi-Positive Exclusive Assignment",
        "url": "https://arxiv.org/abs/2609.12842",
        "organization": "Alibaba International Digital Commerce Group"
      },
      "dataset": {
        "name": "MovieLens 100K",
        "users": 220,
        "items": 360
      },
      "setup": {
        "adapter": "mima",
        "same_split_and_candidates": true,
        "seed": 44
      },
      "baseline": {
        "name": "transition + content + popularity",
        "hit_at_10": 0.10909090909090909,
        "ndcg_at_10": 0.05400546778896325,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.23772727272727273
      },
      "method": {
        "name": "mima executable mechanism",
        "hit_at_10": 0.09545454545454546,
        "ndcg_at_10": 0.045885865647856926,
        "fresh_hit_at_10": 0.031746031746031744,
        "head_share_at_10": 0.195
      },
      "relative": {
        "hit_at_10_percent": -12.499999999999991,
        "ndcg_at_10_percent": -15.034777909590991,
        "fresh_hit_at_10_percent": 0.0,
        "head_share_at_10_percent": -17.97323135755258
      },
      "stages": {
        "exclusive_assignments": 8,
        "activation_sum": 1.0,
        "one_to_one": true,
        "validation_only_alpha": 0.1,
        "validation_metrics": {
          "hit_at_10": 0.10909090909090909,
          "ndcg_at_10": 0.05478472051586772,
          "fresh_hit_at_10": 0.05263157894736842,
          "head_share_at_10": 0.2040909090909091
        }
      },
      "paper_results": {
        "transaction_count_lift_percent": 5.6,
        "transaction_amount_lift_percent": 5.44
      },
      "scope": "公开序列执行多正例一对一匹配、互补兴趣更新与 activation calibration；用分段特征替代生产 causal Transformer 与请求日志。",
      "manifest_ref": "reproduction:mima"
    }
  ],
  "aggregate_metrics": {
    "fresh_hit_at_10_mean": 0.031746031746031744,
    "fresh_hit_at_10_std": 0.0,
    "head_share_at_10_mean": 0.19499999999999998,
    "head_share_at_10_std": 0.0,
    "hit_at_10_mean": 0.09545454545454546,
    "hit_at_10_std": 0.0,
    "ndcg_at_10_mean": 0.045885865647856926,
    "ndcg_at_10_std": 0.0
  },
  "manifest_ref": "reproduction:mima",
  "evaluation_protocol": {
    "tier": "l2_public_dataset",
    "seeds": [
      42,
      43,
      44
    ],
    "formal_comparison": true,
    "claim_policy": "public CPU mechanism comparison; not a production KPI reproduction"
  },
  "provenance": {
    "commit": "7313785b5828c54e112d2c161a1b17657fec9426",
    "command": "PYTHONPATH=src python scripts/generate_sep_15_2026_artifacts.py",
    "dataset_fingerprint": "fd9166bf97fab47a5a508073fc46b96a9cb10bea4d22fad132471342fe1cbe2c",
    "artifact_path": "docs/reproductions/2609.12842-mima/metrics/movielens-100k-seeds42-44.json"
  }
}
