







We'll ask permission to read your likes from the last 30 days and match you with long-form writing published on Standard.site. Your recommendations page will be public.
nonstandard-recs
We'll ask permission to read your likes from the last 30 days and match you with long-form writing published on Standard.site. Your recommendations page will be public.
standard-recs
We'll ask permission to read your likes from the last 30 days and match you with long-form writing published on Standard.site. Your recommendations page will be public.
Introducing recommendations: simple cross-promotion for writers
A new way for writers on Substack to recommend each other and discover more great work

Bluesky "For You" feed playground
This page shows recommendations generated by the For You custom feed. The algorithm has three simple steps:
Bluesky "For You" feed playground
This page shows recommendations generated by the For You custom feed. The algorithm has three simple steps:
Today · Standard Reader
Fresh writing from the publications you subscribe to, every day.
Twitter's For You Recommendation Algorithm
Twitter has open-sourced a majority of its recommendation algorithm. It offers an exciting opportunity for researchers, industry practitioners, and RecSys enthusiasts to take a close look at how Twitter computes the recommended feed for the For You page. This article described Twitter’s end-to-end recommender system along with relevant literature and code references.

Two tower models for retrieval of recommendations
Fourth post in this series on personalized recommendations

A home for the writing you love · Standard Reader
New writing from the standard.site publications you subscribe to — calm, chronological, and yours to take anywhere.
Community newsletters rating | Notion
Here is where you can read some great stuff about community 🤩

spacecowboy (@spacecowboy17.bsky.social)
PSA: you can find out which of your likes caused For You to show any given post at foryou.club/explain Just enter the post URL and hit "Explain":
Toward a durable writing stack – Writings and rehearsals by Nathan Schneider
I have benefited over the years from others who have documented their writing setups, and so I feel some obligation to pay the favor forward by doing so with my own. The stack I’ll describe here is one I’ve been iterating on for about twenty years, starting from when I began discovering the pleasures of plain-text writing. Every aspect of it has changed over that period, but the some basic goals and flows have been with me through the writing of my college thesis, five books, and hundreds of articles. I am quite happy with where I am, and others might benefit from what I’ve come up with.

I wrote a custom Bluesky feed! It's a classifier trained my past likes. As a bonus, I got to learn more about recommender systems ("RecSys"). adamwiggins.com/posts/a-bluesky-feed-for-one/
A Bluesky feed for one · Adam Wiggins
adamwiggins.comSign in - For You
BridgEU: new project to study how recommendation systems can reduce polarization | SynoSys
Letting Users Choose Recommender Algorithms: An Experimental Study

Agentic Taste Modeling | lab notes #8

A Bluesky feed for one · Adam Wiggins

How the Substack feed is learning to understand your reading journey