CLASSY: a conversational aware suggestion system

Detalhes bibliográficos
Autor(a) principal: Ferreira, Diogo
Data de Publicação: 2019
Outros Autores: Antunes, Mário, Gomes, Diogo, Aguiar, Rui L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/28693
Resumo: 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.
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spelling CLASSY: a conversational aware suggestion systemPervasive systemsContext awareSuggestion systemsInformation retrievalNatural language processingOver 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.MDPI2020-06-15T20:46:06Z2019-11-20T00:00:00Z2019-11-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/28693eng2504-390010.3390/proceedings2019031040Ferreira, DiogoAntunes, MárioGomes, DiogoAguiar, Rui L.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:55:27Zoai:ria.ua.pt:10773/28693Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:01:09.486711Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv CLASSY: a conversational aware suggestion system
title CLASSY: a conversational aware suggestion system
spellingShingle CLASSY: a conversational aware suggestion system
Ferreira, Diogo
Pervasive systems
Context aware
Suggestion systems
Information retrieval
Natural language processing
title_short CLASSY: a conversational aware suggestion system
title_full CLASSY: a conversational aware suggestion system
title_fullStr CLASSY: a conversational aware suggestion system
title_full_unstemmed CLASSY: a conversational aware suggestion system
title_sort CLASSY: a conversational aware suggestion system
author Ferreira, Diogo
author_facet Ferreira, Diogo
Antunes, Mário
Gomes, Diogo
Aguiar, Rui L.
author_role author
author2 Antunes, Mário
Gomes, Diogo
Aguiar, Rui L.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferreira, Diogo
Antunes, Mário
Gomes, Diogo
Aguiar, Rui L.
dc.subject.por.fl_str_mv Pervasive systems
Context aware
Suggestion systems
Information retrieval
Natural language processing
topic Pervasive systems
Context aware
Suggestion systems
Information retrieval
Natural language processing
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-20T00:00:00Z
2019-11-20
2020-06-15T20:46:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/28693
url http://hdl.handle.net/10773/28693
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2504-3900
10.3390/proceedings2019031040
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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