{"id":7151,"date":"2025-09-26T07:02:22","date_gmt":"2025-09-26T07:02:22","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/26\/building-a-video-game-recommender-system-with-fastapi-postgresql-and-render-part-2\/"},"modified":"2025-09-26T07:02:22","modified_gmt":"2025-09-26T07:02:22","slug":"building-a-video-game-recommender-system-with-fastapi-postgresql-and-render-part-2","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/26\/building-a-video-game-recommender-system-with-fastapi-postgresql-and-render-part-2\/","title":{"rendered":"Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part\u00a02"},"content":{"rendered":"<p>    Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part\u00a02<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Deploying a FastAPI + PostgreSQL recommender system as a web application on Render<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/building-a-video-game-recommender-system-with-fastapi-postgresql-and-render-part-2\/\">Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part\u00a02<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Lucas See<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/building-a-video-game-recommender-system-with-fastapi-postgresql-and-render-part-2\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part\u00a02 Deploying a FastAPI + PostgreSQL recommender system as a web application on Render The post Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part\u00a02 appeared first on Towards Data Science. Lucas See Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,67,1082,942,157,537],"tags":[944,3890,1703],"class_list":["post-7151","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-deep-dives","category-docker","category-fastapi","category-python","category-recommendation-system","tag-fastapi","tag-recommender","tag-system"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7151"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=7151"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7151\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=7151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=7151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=7151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}