User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues
User Modeling and User-Adapted Interaction
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
The use of contextual information in a proactivity model for conversational agents
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Evaluation and validation of a conversational agent embodied in a bookstore
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
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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.