No matter how good a search engine is, it is sometimes necessary to change the search terms to get the information you need. But what if you did not have to change the search terms yourself? What if the search engine could do that for you?
A Penn State researcher analyzed nearly 1 million Web searches to detect patterns of query reformulation and create models to predict them — models that may help create more advanced search engines.
“The key finding in the research is that we are moving from descriptive aspects to predictive models in Web searching,” said Jim Jansen, associate professor of information sciences and technology and one author of the paper “Patterns of Query Reformulation during Web Searching,” published in the online edition of the Journal of the American Society for Information Science and Technology and scheduled for the July issue.
Researchers found that the search terms in 22 percent of queries were reformulated or changed to more precisely convey the information for which the user was searching.
Source: PSU Live
Hat Tip: P.W.
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on Friday, June 5th, 2009 and is filed under Search News, Web Search.
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