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This invention describes a way for a computer system to manage a network of trusted connections, like friends or experts, to help recommend things. When a user gets a recommendation based on this network and gives feedback, the system automatically adjusts how much it trusts the people who made the recommendation. Specifically, it uses this feedback to suggest new connections, like 'friends,' to the user.
Why it matters: Since 2012, advancements in machine learning, particularly graph neural networks and sophisticated recommendation algorithms, offer more powerful and efficient ways to process 'judgment data' and dynamically update 'trust weights' within complex social networks. These technologies could significantly enhance the accuracy and scalability of identifying and suggesting new connections.
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