[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-70984":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":16,"starSnapshotCount":16,"syncStatus":17,"lastSyncTime":28,"discoverSource":29},70984,"the-algorithm-ml","twitter\u002Fthe-algorithm-ml","twitter","Source code for Twitter's Recommendation Algorithm","https:\u002F\u002Fblog.twitter.com\u002Fengineering\u002Fen_us\u002Ftopics\u002Fopen-source\u002F2023\u002Ftwitter-recommendation-algorithm",null,"Python",10579,2236,104,20,0,2,15,6,45,"GNU Affero General Public License v3.0",false,"main",[],"2026-06-12 02:02:46","This project open sources some of the ML models used at Twitter.\n\nCurrently these are:\n\n1. The \"For You\" Heavy Ranker (projects\u002Fhome\u002Frecap).\n\n2. TwHIN embeddings (projects\u002Ftwhin) https:\u002F\u002Farxiv.org\u002Fabs\u002F2202.05387\n\n\nThis project can be run inside a python virtualenv. We have only tried this on Linux machines and because we use torchrec it works best with an Nvidia GPU. To setup run\n\n`.\u002Fimages\u002Finit_venv.sh` (Linux only).\n\nThe READMEs of each project contain instructions about how to run each project.\n","该项目开源了Twitter的部分推荐算法模型。其核心功能包括“为你推荐”的重排序器以及TwHIN嵌入模型，后者是一种用于大规模图数据的高效嵌入方法。项目主要使用Python编写，并依赖于PyTorch等深度学习库，特别适合在配备NVIDIA GPU的Linux系统上运行。适用于需要构建个性化内容推荐系统的场景，如社交媒体、新闻资讯平台等，帮助开发者理解并实现先进的机器学习推荐技术。","2026-06-11 03:35:18","high_star"]