{
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  "authors": [
    "Biplab Deka",
    "Zifeng Huang",
    "Chad Franzen",
    "Joshua Hibschman",
    "Daniel Afergan",
    "Yang Li",
    "Jeffrey Nichols",
    "Ranjitha Kumar"
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    "publication": {
      "authors": [
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      "issue": null,
      "notes": "The paper is a distinct resource from the already cataloged Rico dataset (url:0b134b082a7bd507fc6a). The publisher PDF describes 9.7k apps and 72k screens; the project page describes 9.3k apps and 66k screens. The annotation intentionally supplies no merged size claim. No volume number is supplied for this proceedings article.",
      "pages": "845-854",
      "pdf_url": "https://danafergan.com/publications/deka2017rico.pdf",
      "publisher": null,
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      "title": "Rico: A Mobile App Dataset for Building Data-Driven Design Applications",
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      "url": "https://doi.org/10.1145/3126594.3126651",
      "venue": "UIST '17: Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology",
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  "name": "Rico: A Mobile App Dataset for Building Data-Driven Design Applications",
  "notes": "The annotation was reviewed against retained primary publication sources. Experiments have not been independently reproduced. The paper is a distinct resource from the already cataloged Rico dataset (url:0b134b082a7bd507fc6a). The publisher PDF describes 9.7k apps and 72k screens; the project page describes 9.3k apps and 66k screens. The annotation intentionally supplies no merged size claim.",
  "published_at": "2017-10-20",
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  "summary": "Introduces Rico, collecting Android interface designs and interaction traces through crowdsourced use followed by automated exploration. The paper demonstrates UI-layout retrieval using learned representations and describes visual, textual, structural, and interaction data.",
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  "url": "https://doi.org/10.1145/3126594.3126651"
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