[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-editable-ai-recommender-profiles-dont-actually-change-rankings":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},6868,"editable-ai-recommender-profiles-dont-actually-change-rankings","Editable AI Recommender Profiles Don't Actually Change Rankings","A reproducibility study finds that editing your natural-language profile shifts recommendation scores evenly, leaving rankings unchanged.","A new reproducibility study says recommender systems that explain themselves in plain English work about as well as advertised - but the \"edit your profile to fix bad recommendations\" pitch doesn't hold up under scrutiny.\n\nThe paper reruns User Profile Recommendation (UPR), a method that turns a user's raw reviews on Amazon Movies & TV and TripAdvisor into a natural-language summary of their tastes, then uses that summary to rerank recommendations. The researchers confirm UPR's original claim: it matches competitive accuracy on a test-set reranking task while giving users a readable profile they can, in theory, correct. They go further than the original authors, running the model across five random seeds to check the results aren't a fluke, ablating pieces of the input context, and using the nnsight interpretability toolkit to probe what happens inside the model when a profile is deliberately altered.\n\nThat last test is the interesting part. Rewriting a user's profile does move the model's predicted ratings, but it moves them the same amount across every genre rather than boosting the genres the edit actually mentioned - so the ranked list of recommendations barely changes, even when researchers directly steered the model's internal activations. The authors trace this to the rating-regression objective UPR is trained on, not to the natural-language interface itself; models trained with a ranking objective instead handle the task noticeably better.\n\nIn other words, the readable profile is a nice window to look through, but right now it's mostly decorative - turning a knob behind that window barely moves the recommendations you actually see.","[\"recommender-systems\",\"interpretability\",\"reproducibility\",\"natural-language-profiles\"]","2026-09-18T04:00:00.000Z","2026-09-18T20:12:49.744Z","2026-09-18T20:13:01.644Z","published",null,[],"ai",[26,27,28,29],"recommender-systems","interpretability","reproducibility","natural-language-profiles",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19831",0,{"sections":36},[37,40,44,49,54,58,62,67,71,76,81,86,91,96],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",4031,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",654,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":18},"Hardware","hardware",155,{"name":59,"slug":60,"count":61,"latest_published_at":18},"Science","science",121,{"name":63,"slug":64,"count":65,"latest_published_at":66},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":68,"slug":69,"count":70,"latest_published_at":18},"Dev Tools","dev-tools",78,{"name":72,"slug":73,"count":74,"latest_published_at":75},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]