文章基本信息

标题：CLASSY: A Conversational Aware Suggestion System
本地全文：下载
作者：Diogo Ferreira ; Mário Antunes ; Diogo Gomes 等
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.