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- Susan_Dumais abstract "Susan Dumais is a Distinguished Scientist at Microsoft and manager of the Context, Learning, and User Experience for Search (CLUES) Group of Microsoft Research. She is also an Affiliate Professor at the University of Washington Information School.Before joining Microsoft in 1997, Dumais was a researcher at Bellcore (now Telcordia Technologies), where she and her colleagues conducted research into what is now called the vocabulary problem in information retrieval. Their study demonstrated, through a variety of experiments, that different people use different vocabulary to describe the same thing, and that even choosing the "best" term to describe something is not enough for others to find it. One implication of this work is that because the author of a document may use different vocabulary than someone searching for the document, traditional information retrieval methods will have limited success.Dumais and the other Bellcore researchers then began investigating ways to build search systems that avoided the vocabulary problem. The result was their invention of Latent Semantic Indexing.In 2006, Dumais was inducted as a Fellow of the Association for Computing Machinery. In 2009, she received the Gerard Salton Award, an information retrieval lifetime achievement award. In 2011, she was inducted to the National Academy of Engineering for innovation and leadership in organizing, accessing, and interacting with information. Dumais also received the Athena Lecturer Award in 2014 for "fundamental contributions to computer science.".".
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- Susan_Dumais name "Dumais, Susan".
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- Susan_Dumais comment "Susan Dumais is a Distinguished Scientist at Microsoft and manager of the Context, Learning, and User Experience for Search (CLUES) Group of Microsoft Research. She is also an Affiliate Professor at the University of Washington Information School.Before joining Microsoft in 1997, Dumais was a researcher at Bellcore (now Telcordia Technologies), where she and her colleagues conducted research into what is now called the vocabulary problem in information retrieval.".
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