CLASSY: A Conversational Aware Suggestion System

Proceedings

Diogo Ferreira¹  Mário Antunes¹  Diogo Gomes¹  RuiL. Aguiar¹ 

[1] DETI, Universidade de Aveiro, 3810-193 Aveiro, Portugal;

关键词: pervasive systems;    context aware;    suggestion systems;    information retrieval;    natural language processing;   

DOI  :  10.3390/proceedings2019031040

来源: DOAJ

【 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.

【 授权许可】

Unknown