Research-Digest/config.json at main · usr-wwelsh/Research-Digest · GitHub

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{
  "interests": {
    "Efficient ML / Edge AI": {
      "query": "cat:cs.LG OR cat:cs.CV OR cat:cs.CL",
      "keywords": [
        "efficient",
        "edge",
        "compression",
        "quantization",
        "pruning",
        "distillation",
        "inference",
        "lightweight",
        "mobile",
        "accelerat"
      ]
    },
    "Privacy-Preserving ML": {
      "query": "cat:cs.CR OR cat:cs.LG",
      "keywords": [
        "privacy",
        "federated",
        "differential",
        "secure",
        "encrypted",
        "confidential",
        "private",
        "anonymi"
      ]
    },
    "Creative AI / Emotion": {
      "query": "cat:cs.AI OR cat:cs.SD OR cat:cs.HC",
      "keywords": [
        "emotion",
        "generative",
        "creative",
        "music",
        "affective",
        "sentiment",
        "art",
        "design",
        "audio",
        "synthesis"
      ]
    },
    "Lightweight Systems": {
      "query": "cat:cs.DC OR cat:cs.AR",
      "keywords": [
        "embedded",
        "iot",
        "edge",
        "resource",
        "constrained",
        "microcontroller",
        "low-power",
        "sensor",
        "device"
      ]
    },
    "Offline-First / Local AI": {
      "query": "cat:cs.LG",
      "keywords": [
        "local",
        "device",
        "mobile",
        "offline",
        "on-device",
        "edge",
        "browser",
        "client-side",
        "standalone"
      ]
    }
  },
  "settings": {
    "papers_per_interest": 25,
    "summary_max_length": 160,
    "recent_days": 7,
    "fallback_days": 90,
    "min_papers_threshold": 5,
    "fetch_multiplier": 3,
    "user_agent": "ResearchDigestBot/1.0 (github.com/usr-wwelsh)"
  }
}