{"adoption": {"forks": 265, "observed_at": "2026-08-28T04:06:23.956366+00:00", "stars": 2189}, "canonical_url": "https://ross.abutalabs.com/products/recsyspapers", "card": {"archived": false, "artifact_type": "learning-resource", "description": "推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.", "domain": ["machine-learning", "artificial-intelligence", "tutorials", "awesome-lists"], "enriched": true, "function": ["machine-learning", "search-engine", "developer-tools"], "health_score": 72, "homepage": "https://tangxyw.github.io/", "language": "Python", "license": "BSD-2-Clause", "license_family": "permissive", "maturity": "active", "member_repos": ["tangxyw/RecSysPapers"], "name": "tangxyw/RecSysPapers", "platform": ["cross-platform"], "pushed_at": "2026-06-11T00:57:36+00:00", "repo": "tangxyw/RecSysPapers", "stars": 2189, "tags": ["recommendation-systems", "papers", "advertising", "search", "ctr-prediction", "reading-list", "curated-collection"], "topics": ["calibration", "causal-inference", "cold-start", "contrastive-learning", "debias", "distillation", "diverse", "fairness", "match", "papers", "rank", "re-rank", "recommendation-system", "feedback-delay", "pre-rank", "look-alike", "multi-scenario", "multi-task", "reinforcement-learning", "multi-modal"], "urls": [], "use_cases": ["find classic papers on recommendation systems", "study CTR prediction and ranking models", "learn about multi-task and multi-scenario modeling", "research debiasing and calibration techniques in recsys", "keep up with cutting-edge industrial recsys papers", "prepare for machine learning interviews in ads or search"], "what_it_is": "A curated collection of 948+ industry and academic papers on recommendation systems, advertising, and search, organized by topics such as ranking, matching, multi-task learning, debiasing, and calibration. It is continuously updated and serves as a study and reference resource for practitioners and researchers.", "when_to_avoid": ["you need runnable code implementations rather than papers", "you need papers outside recommendation, advertising, or search domains"], "when_to_choose": ["you need a comprehensive, categorized reading list for recommendation/advertising/search research", "you want to track industry classics and frontier papers in one place"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/recsyspapers", "repo": "tangxyw/RecSysPapers", "role": "main", "score": 71}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:23.956366+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:47:44.957445+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "829ca308a1a5c527ade3d20d74046640199b41943d3b9f381821e2ca0815c59c", "fetched_at": "2026-08-28T04:06:23.956366+00:00", "kind": "readme", "missing": false, "url": "https://github.com/tangxyw/RecSysPapers"}, {"content_hash": "87562e8c1587358bdf78b97c8e6b9a4dc8b010d7fe5f67ca6b2334ac685b4935", "fetched_at": "2026-08-29T10:28:05.766939+00:00", "kind": "homepage", "missing": false, "url": "https://tangxyw.github.io/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 86, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1478, "days_push": 84, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 71, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}