{"adoption": {"forks": 324, "observed_at": "2026-08-28T04:05:32.328275+00:00", "stars": 1757}, "canonical_url": "https://ross.abutalabs.com/products/tech_aarticle", "card": {"archived": false, "artifact_type": "learning-resource", "description": "主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。", "domain": ["machine-learning", "tutorials", "awesome-lists"], "enriched": true, "function": ["search-engine", "nlp", "machine-learning", "documentation"], "health_score": 20, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["DA-southampton/Tech_Aarticle"], "name": "DA-southampton/Tech_Aarticle", "platform": ["cross-platform"], "pushed_at": "2021-06-03T11:45:54+00:00", "repo": "DA-southampton/Tech_Aarticle", "stars": 1757, "tags": ["curated-reading-list", "search-and-recommendation", "deep-learning-in-production", "chinese-content", "model-deployment", "query-understanding", "natural-language-processing", "search"], "topics": [], "urls": [], "use_cases": ["find industry articles on deep learning for search ranking", "learn how companies deploy ML models in production", "study query understanding and intent recognition techniques", "find reading material on recommendation systems", "learn about semantic retrieval and text matching like DSSM", "keep up with applied NLP engineering practices"], "what_it_is": "A curated Chinese-language reading list of technical articles on deep learning applied to search, recommendation, and NLP in industry, with author annotations for articles they have read. It aggregates engineering blog posts from companies like Meituan, Alibaba, JD, and iQiyi covering model deployment, query understanding, and ranking.", "when_to_avoid": ["you need runnable code or a software library", "you need English-language resources only", "you need actively maintained content (last updated 2021)"], "when_to_choose": ["you want a curated, annotated list of real-world search/recommendation/NLP engineering articles", "you read Chinese and want industry case studies on applied deep learning", "you are researching how production systems handle model serving and ranking"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/tech_aarticle", "repo": "DA-southampton/Tech_Aarticle", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.328275+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:27:38.140132+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78821c462072766870bf2f63fce4a64a14787d5c9e5158692ad6e6fab5bfc47f", "fetched_at": "2026-08-28T04:05:32.328275+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DA-southampton/Tech_Aarticle"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2275, "days_push": 1917, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}