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  • 标题:CLASSY: A Conversational Aware Suggestion System
  • 本地全文:下载
  • 作者:Diogo Ferreira ; Mário Antunes ; Diogo Gomes
  • 期刊名称:Proceedings
  • 电子版ISSN:2504-3900
  • 出版年度:2019
  • 卷号:31
  • 期号:1
  • 页码:40
  • DOI:10.3390/proceedings2019031040
  • 语种:English
  • 出版社:MDPI AG
  • 摘要: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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