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dansup
dansup
@dansup@mastodon.social  ·  activity timestamp 2 weeks ago

The magic of the Loops For You Algorithm, explained ⬇️

#Loops #ForYouFeed #OpenAlgorithms

How the Loops For You Algorithm works, it visualizes how the platform selects videos for users when using the For You feed.

It shows a flowchart starting from a user request, branching based on whether the user is new (receiving a "Popular & Discovery Focus") or returning (receiving a "Personalized Focus"). Three content sources—Personalized, Popular, and Discovery streams—are filtered for hidden creators or already-seen content and fed into a central Scoring & Ranking Engine chip icon. Below this engine, a pie chart details the scoring weights: Engagement (35%), Personalization (30%), Freshness (25%), and Creator Quality (10%). The engine outputs the final "Ranked 'For You' Feed." A feedback loop shows user actions updating interest data for future recommendations. A prominent section in the bottom right emphasizes User Control with a trash can icon, stating users can "Clear Recommendation Data at Any Time (Resets Interests & Hidden Creators).
How the Loops For You Algorithm works, it visualizes how the platform selects videos for users when using the For You feed. It shows a flowchart starting from a user request, branching based on whether the user is new (receiving a "Popular & Discovery Focus") or returning (receiving a "Personalized Focus"). Three content sources—Personalized, Popular, and Discovery streams—are filtered for hidden creators or already-seen content and fed into a central Scoring & Ranking Engine chip icon. Below this engine, a pie chart details the scoring weights: Engagement (35%), Personalization (30%), Freshness (25%), and Creator Quality (10%). The engine outputs the final "Ranked 'For You' Feed." A feedback loop shows user actions updating interest data for future recommendations. A prominent section in the bottom right emphasizes User Control with a trash can icon, stating users can "Clear Recommendation Data at Any Time (Resets Interests & Hidden Creators).
How the Loops For You Algorithm works, it visualizes how the platform selects videos for users when using the For You feed. It shows a flowchart starting from a user request, branching based on whether the user is new (receiving a "Popular & Discovery Focus") or returning (receiving a "Personalized Focus"). Three content sources—Personalized, Popular, and Discovery streams—are filtered for hidden creators or already-seen content and fed into a central Scoring & Ranking Engine chip icon. Below this engine, a pie chart details the scoring weights: Engagement (35%), Personalization (30%), Freshness (25%), and Creator Quality (10%). The engine outputs the final "Ranked 'For You' Feed." A feedback loop shows user actions updating interest data for future recommendations. A prominent section in the bottom right emphasizes User Control with a trash can icon, stating users can "Clear Recommendation Data at Any Time (Resets Interests & Hidden Creators).
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LPB
LPB
@LittlePolarBear@mastodon.social replied  ·  activity timestamp 2 weeks ago

@dansup hopefully as the userbase grows, itll repeat content less. That and I need a filter to kill AI content on my feed.

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dansup
dansup
@dansup@mastodon.social replied  ·  activity timestamp 2 weeks ago

@LittlePolarBear Yes, an AI filter is coming!

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Dave
Dave
@anathem@toot.kif.rocks replied  ·  activity timestamp 2 weeks ago

@dansup Erm... the "Update Interests" part is personalized tracking. You are keeping a dataset of personalized interests on the server. That alone is accumulating tracking data.
And a big part of data protection is "not accumulating personalized tracking data".

I don't see how that aligns with the Fediverse's values as I understand them, even though you do have a User Control part.

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dansup
dansup
@dansup@mastodon.social replied  ·  activity timestamp 2 weeks ago

@anathem The user interests are simply hashtags and tokens of videos they've interacted with, its no different than Mastodon, we just access it differently.

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J'LouiessxZ
J'LouiessxZ
@jlouiessxz@mastodon.social replied  ·  activity timestamp 2 weeks ago

@dansup @anathem then community feeds (e.g. Bluesky) might be the solution

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SeigeA
SeigeA
@seigea@mastodon.ashevillains.org replied  ·  activity timestamp 2 weeks ago

@dansup this is awesome. I actually think algorithms for social media are probably pretty important, but transparency and even customizability for them!

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