Inferring Informational Goals from Free-Text Queries

People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals with common words and phrases that describe software functionality in terms of structure and objects they understand. We describe a Bayesian approach to modeling the relationship between words in a user's query for assistance and the informational goals of the user. After reviewing the general method, we describe several extensions that center on integrating additional distinctions and structure about language usage and user goals into the Bayesian models.

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Publisher  Morgan Kaufmann Publishers
All copyrights reserved by Morgan Kaufmann Publishers 1998.

Details

TypeInproceedings
URLhttp://www.mkp.com/
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