What are the applications of PageRank?
PageRank is primarily used in search engines to rank web pages. It can also be applied in social network analysis, recommendation systems, and even in academic citation analysis.
Can you explain how it works in social networks?
In social networks, PageRank helps identify influential users by analyzing the connections and interactions between users, ranking them based on their importance.
Are there any other fields where PageRank is useful?
Yes, PageRank is also used in bioinformatics for analyzing protein interactions and in machine learning for feature selection.
How does it compare to other ranking algorithms?
PageRank is unique because it considers the quality of links rather than just quantity, making it more effective in certain contexts compared to algorithms like TF-IDF.
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