About: Susan Dumais   Sponge Permalink

An Entity of Type : owl:Thing, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

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.

AttributesValues
rdfs:label
  • Susan Dumais
rdfs:comment
  • 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.
dcterms:subject
dbkwik:microsoft/p...iPageUsesTemplate
abstract
  • 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.
Alternative Linked Data Views: ODE     Raw Data in: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3217, on Linux (x86_64-pc-linux-gnu), Standard Edition
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2012 OpenLink Software