Open Douyin, and the system immediately understands what you like—cat videos, food, music. The personalized recommendation feed keeps users hooked. Netflix is the same; your viewing history is transformed into a personalized playlist. But what about entering the Web3 world? Experienced users holding 100 ETH and newcomers see the exact same dApp interface. The features are the same, the layout is the same, and the recommendations are the same. 😐
This "one-size-fits-all" design has long been outdated. True product strength lies in "understanding users." Whether it's interaction smoothness or content presentation, personalization is a must-have for modern products.
Some projects are already exploring how to incorporate this intelligent personalization system into the Web3 ecosystem, allowing each user's dApp experience to dynamically adjust based on their needs and behavioral preferences. This is an inevitable trend for Web3 products to mature.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
17 Likes
Reward
17
5
Repost
Share
Comment
0/400
IfIWereOnChain
· 01-09 20:35
You're right, Web3 is still stuck in the ancient era.
In fact, most dApps are too lazy to personalize; as long as they work, that's fine.
Wait, can this really be implemented? It feels like one of those stories that sound beautiful but may not come true.
Are the projects you have working on this? Do they really have a recommendation algorithm set?
Web3 user experience, compared to Web2, still has a long way to go.
If this can really be achieved, it might be more worth paying attention to than some new tokens.
I just want to ask, if personalized recommendations run on-chain, how is privacy protected?
View OriginalReply0
FUDwatcher
· 01-08 17:53
Honestly, Web3 is still using Stone Age UI design, which is really disappointing.
Isn't this just reinventing the wheel? Traditional finance has already mastered this.
Personalized recommendations sound good, but how do we prevent data from being mined?
There's no need to treat a user with 100 yuan differently from a millionaire; they see the same interface.
Why don't we all just use AI Agents? After all, none of us are human anymore.
Open Douyin, and the system immediately understands what you like—cat videos, food, music. The personalized recommendation feed keeps users hooked. Netflix is the same; your viewing history is transformed into a personalized playlist. But what about entering the Web3 world? Experienced users holding 100 ETH and newcomers see the exact same dApp interface. The features are the same, the layout is the same, and the recommendations are the same. 😐
This "one-size-fits-all" design has long been outdated. True product strength lies in "understanding users." Whether it's interaction smoothness or content presentation, personalization is a must-have for modern products.
Some projects are already exploring how to incorporate this intelligent personalization system into the Web3 ecosystem, allowing each user's dApp experience to dynamically adjust based on their needs and behavioral preferences. This is an inevitable trend for Web3 products to mature.