For You notes

Re-balancing For You

Re-balancing For You

In Making For You pay more attention to your older likes I tried to address a common complaint about For You - that it was too reactive to recent likes. You like one cat post and your For You is now all cats. The solution was to give less weight to your most recent likes. Specifically, 10x less weight compared to the oldest likes.

spacecowboy

Reducing "show less like this" by 11% with NSFW filtering

Reducing "show less like this" by 11% with NSFW filtering

Two weeks ago I started an experiment to use adult content labels in the For You algorithm with the goal to reduce the amount of unwanted content:

spacecowboy

Making For You pay more attention to your older likes

Making For You pay more attention to your older likes

Common feedback about 💖For You is that it is too reactive to your most recent likes:

spacecowboy

NSFW in For You

NSFW in For You

your NSFW ≠ my NSFW

spacecowboy

Dynamic time decay

Dynamic time decay

When For You started I didn't have a way to tell which posts the user has seen. When the user refreshed the feed - they would get the same ranking of results.

spacecowboy