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Q 2 . Consider the following two scenarios. In Scenario 1 , we have Jai and Viru who might become friends. In Scenario 2 ,
Q Consider the following two scenarios. In Scenario we have Jai and Viru who might become friends. In Scenario there's Basanti and Jaya who could also become friends. Do you think the likelihood of friendship formation is equal in both cases? The basic link prediction method, which looks only at the number of mutual friends, might overlook important details. With additional information about these individuals' connections, can you devise a more effective link prediction strategy than just counting common friends? Consider using distance or similarity metrics from your Machine Learning course for inspiration.
Q Consider the following two scenarios. In Scenario we have Jai and Viru who might become friends. In Scenario there's Basanti and Jaya who could also become friends. Do you think the likelihood of friendship formation is equal in both cases? The basic link prediction method, which looks only at the number of mutual friends, might overlook important details. With additional information about these individuals' connections, can you devise a more effective link prediction strategy than just counting common friends? Consider using distance or similarity metrics from your Machine Learning course for inspiration.
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