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CLASSY: A Conversational Aware Suggestion System

1
DETI, Universidade de Aveiro, 3810-193 Aveiro, Portugal
2
Instituto de Telecomunicações, Universidade de Aveiro, 3810-193 Aveiro, Portugal
*
Author to whom correspondence should be addressed.
Presented at the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019.
Proceedings 2019, 31(1), 40; https://doi.org/10.3390/proceedings2019031040
Published: 20 November 2019
Over the last few years, pervasive systems have seen some interesting development. Nevertheless, human–human interaction can also take advantage of those systems by using their ability to perceive the surrounding environment. In this work, we have developed a pervasive system – named CLASSY – that is aware of the conversational context and suggests documents potentially useful to the users based on an Information Retrieval system, and proposed a new scoring approach that uses semantics and distance based on proximity data in order to classify the relationship between tokens.
Keywords: pervasive systems; context aware; suggestion systems; information retrieval; natural language processing pervasive systems; context aware; suggestion systems; information retrieval; natural language processing
MDPI and ACS Style

Ferreira, D.; Antunes, M.; Gomes, D.; Aguiar, R.L. CLASSY: A Conversational Aware Suggestion System. Proceedings 2019, 31, 40.

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