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Knowledge workers need software that is easy to use and intuitive. They need to find their information long after they’ve forgotten where they put their documents and what they named their files. Information retrieval and search are a big part of making this happen. We are pursuing research in information retrieval, filtering, and management. Other work has explored the use of classification technologies and the development of systems that will enrich the user experience. Search has become the dominant paradigm for rediscovering information in individual computers, within corporations, and on the Internet as a whole.

Welcome Scientific American readers!

We are looking primarily at Internet-scale searching, and trying to understand the ways in which information on that scale develops, working on the core technologies for providing the most relevant and freshest search results possible. These technologies and research aims include: - Crawling: finding the raw documents to search - Duplicate detection and suppression: finding documents at most once - Spam detection: finding documents to exclude completely - Indexing: locating documents from keywords - Relevancy: locating the most useful documents In addition, we look at theoretical models for the Web, trying to abstract the properties of the Web graph that link pages together. This allows us to evaluate algorithms in an abstract setting without the distractions of spam, duplicates, aliases, crawling restrictions, and other pragmatic concerns.

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