Jeonghee Yi

Papers

Total Citations

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About

Jeonghee Yi is a pioneering researcher in web information gathering and metadata-driven data mining, with a career focused on solving the challenges of an exponentially growing web. Her foundational work introduced the concept that what other pages say about a web page can be as important as what the page says about itself—a prescient insight that anticipated modern trust and quality ranking systems. Yi’s most cited paper, “Using Metadata to Enhance a Web Information Gathering System” (2000, 5 citations), established a framework for leveraging cumulative metadata to assess page relevance and credibility, directly addressing the problem of rating billions of pages. She further developed these ideas in “Using Metadata to Enhance Web Information Gathering” (2001, 2 citations) and “Metadata Based Web Mining for Topic-Specific Information Gathering” (2000, 2 citations), advancing topic-specific search through metadata analysis. Though her citation counts are modest, Yi’s early work laid conceptual groundwork for later advances in web trust, quality evaluation, and semantic search. Her research remains relevant for students and scholars exploring how metadata can transform web-scale information retrieval and mining.