Recommendation Systems
MK and
Recommendation Systems
as a network scales, it is inevitable that you need a way to sort & rank content.
web 2.0 solved it by ranking for popularity but a better approach could be to have a minimal quality threshold but not to try to rank things above that - so the search is not maximization-driven and leaves more room for serendipity.
h/t ken stanley
Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
Dmitry Pastukhovmusic-tomorrow.com![Thumbnail of Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]](https://uploads-ssl.webflow.com/6206e1343aa2f122195717f8/6310b1a1447a22ac785a50ae_alina-grubnyak-ZiQkhI7417A-unsplash%20(1).jpg)
I’ve never cared much about the presence or not of a blue check by a user’s name, but I do notice when tweets from people I follow make up a smaller and smaller percentage of my feed. It’s as if neighbors of years moved out from my block overnight, replaced by strangers who all came knocking on my front door carrying not a casserole but a... See more
Eugene Wei • How to Blow Up a Timeline
I wonder whether/why a For You feed is harder to tune in text-based mediums than video ones. Regardless, agree that the Twitter For You feed doesn't deliver.
How TikTok recommends videos #ForYou
newsroom.tiktok.com
- · Are we being reprogrammed by algorithms? In the last edition, I mentioned a recent tweet-er-xeet post by Twitter founder Jack Dorsey. Jack suggested that we should all be able to choose the algorithm that controls our timelines across social media products. But the underlying premise is more interesting: As social algorithms get far more