{"adoption": {"forks": 607, "observed_at": "2026-08-28T04:04:08.768574+00:00", "stars": 1254}, "canonical_url": "https://ross.abutalabs.com/products/kaggle-2014-criteo", "card": {"archived": true, "artifact_type": "library", "description": null, "domain": ["machine-learning", "data-science"], "enriched": true, "function": ["machine-learning", "data-science", "etl"], "health_score": 10, "homepage": null, "language": "C++", "license": "NOASSERTION", "license_family": "other", "maturity": "maintenance", "member_repos": ["ycjuan/kaggle-2014-criteo"], "name": "ycjuan/kaggle-2014-criteo", "platform": ["cpp", "python"], "pushed_at": "2024-08-16T04:31:37+00:00", "repo": "ycjuan/kaggle-2014-criteo", "stars": 1254, "tags": ["kaggle", "criteo", "factorization-machines", "ffm", "click-through-rate", "display-advertising", "competition-solution", "algorithms", "linux"], "topics": [], "urls": [], "use_cases": ["reproduce the winning solution for the Kaggle Criteo display advertising challenge", "train field-aware factorization machine models on CTR prediction data", "convert the released Criteo text dataset to competition csv format", "learn how top Kaggle teams approached large-scale click-through-rate prediction", "run FFM-based experiments on large advertising datasets"], "what_it_is": "The winning '3 Idiots' solution code for the 2014 Kaggle Criteo Display Advertising Challenge, built around field-aware factorization machines (FFM). It includes C++ executables and Python scripts for converting, preparing, and running predictions on the Criteo dataset.", "when_to_avoid": ["you need a modern, maintained CTR prediction library with active support", "you work on Windows or lack 40GB+ RAM and 100GB disk space", "you want a general-purpose machine learning framework rather than a competition-specific solution"], "when_to_choose": ["you want to replicate or study the winning 2014 Criteo competition approach", "you need a proven FFM pipeline for click-through-rate prediction", "you have the required 40GB+ memory Unix environment and the Criteo dataset"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/kaggle-2014-criteo", "repo": "ycjuan/kaggle-2014-criteo", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:08.768574+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T05:07:26.611908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6bce088762f56695d95670432b1b067921e82d9d947b04db38c82addd7f567f", "fetched_at": "2026-08-28T04:04:08.768574+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ycjuan/kaggle-2014-criteo"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "archived", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 4347, "days_push": 747, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}