Abstract
We present a demonstration application for dialogue-based search. In this system, a conversational agent engages with the user of an online search tool to support their search activities. Agent-supported conversational search of this type represents a fundamental advance beyond current standard search engines, such as web search tools. Analogous to the role of a human librarian, the agent can direct the user to potentially interesting retrieved information and provide suggestions to help progress the searcher’s activities.
This work was supported by Science Foundation Ireland as part of the ADAPT Centre (Grant 13/RC/2106) at Dublin City University.
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Kaushik, A., Loir, N., Jones, G.J.F. (2021). Multi-view Conversational Search Interface Using a Dialogue-Based Agent. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_58
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