Chatbots as conversational recommender systems in urban contexts

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Chatbots as conversational recommender systems in urban contexts

Conference Paper (2017)

Author(s)

Pavel Kucherbaev (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Achilleas Psyllidis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Alessandro Bozzon (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Web Information Systems

Chatbots Cities Conversational recommender systems

DOI related publication

https://doi.org/10.1145/3127325.3127331 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:b1c3c518-5721-4e0a-b59c-e69d39bc473b

More Info

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Publication Year

2017

Language

English

Research Group

Web Information Systems

Article number

6

Pages (from-to)

1-2

ISBN (print)

978-1-4503-5370-0

Event

CitRec'17 (2017-08-31 - 2017-08-31), Como, Italy

Downloads counter

132

Abstract

In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some challenges associated with such chatbot systems could be addressed in the future.