Title
Helping conversational agents to find informative responses: query expansion methods for chatterbots
Abstract
Chatterbots are conversational agents engaging a natural language-based interaction with web site users. In e-commerce, however, simple "chatting" which is mainly entertaining the user is not sufficient. Instead, the agent needs to be cooperative by trying to provide relevant information about products and/or the conditions of purchasing, usually retrieved from product databases and manuals. In this paper we explore ways to extract information out of the on-going dialogue for the automatic generation of queries to application data sources. By evaluating the result set we identify and eventually apply so called "query expansion" mechanisms for improving the quality of the results.
Year
DOI
Venue
2002
10.1145/544862.544928
AAMAS
Keywords
Field
DocType
informative response,web site user,conversational agent,query expansion method,natural language-based interaction,application data source,relevant information,automatic generation,product databases,on-going dialogue,query expansion,information retrieval,e commerce,natural language,electronic commerce
World Wide Web,Result set,Query expansion,Computer science,Natural language,Purchasing,Web site
Conference
ISBN
Citations 
PageRank 
1-58113-480-0
4
0.51
References 
Authors
2
2
Name
Order
Citations
PageRank
Marcello L'abbate1133.32
Ulrich Thiel223030.13