Intelligent Q&A system based on case based reasoning

Author

Han, Peng ; Shen, Rui-Min ; Yang, Fan

Author_Institution

Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China

Volume

1

fYear

2002

fDate

2002

Firstpage

345

Abstract

Q&A (question and answer) is an important aiding tool for people to obtain information from the Internet. We introduce CBR (case based reasoning) into a traditional Q&A system and put forward an interactive Q&A engine. This engine uses keywords of the question to trigger case and sorts the results by the relationship; meanwhile the engine obtains feedback from the user and modifies the weights of the keywords immediately. We present a feature-weight maintenance algorithm to increase the accuracy. Furthermore we extend the 2-layer architecture of CBR to 3-layer to make the system more scalable and maintainable.

Keywords

case-based reasoning; distance learning; information retrieval; knowledge based systems; learning (artificial intelligence); 2-layer architecture; 3-layer architecture; Internet; case based reasoning; feature-weight maintenance algorithm; feedback; intelligent Q&A system; interactive engine; keywords; question and answer system; Computer aided software engineering; Computer science; Electronic learning; Electronic mail; Expert systems; Feedback; Intelligent systems; Internet; Kernel; Search engines;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1176771

Filename

1176771