Algorithmic and Customized Recommendation

The algorithmic recommendation system enable Feed.xyz to provide customized content feeds relies on personalized preference. Nearly all web3 content platforms present the same homepage for every user, however, everyone is an independent individual and has different reading preferences. Everyone's homepage is different, showing a thousand Hamlets in a thousand people’s pages.

For example, professional traders will receive information on market analysis, DeFi players will see the latest liquidity mining opportunities, game enthusiasts will find the latest play to earn projects, and airdrop hunters can receive analysis of the most promising airdrop projects. Feed.xyz will make combined recommendations based on data such as user characteristics, environmental characteristics, and article characteristics. Behind this is the support of artificial intelligence technologies such as data mining, neural networks, natural language understanding, and machine learning.

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