期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：9
页码：546-552
出版社：Science and Information Society (SAI)
摘要：Chatbots or conversational agents are the most
projecting and widely employed artificial assistants on online
social media. These bots converse with the humans in audio,
visual, or textual formats. It is quite intelligible that users are
keen interested in the swift and relatedly correct information for
their hunt in pursuit of desired product, such that their precious
time is not wasted through surfing multiple websites and business
portals. In this paper, we present a novel incremental approach
for building a chatbot for fashion brands based on the semantic
web. We organized a dataset of 5,000 question and answers of top10
brands in the fashion domain, which covers the information
about new arrivals, sales, packages, discounts, exchange/return
policies, etc. We have also developed a dialogue interface for
querying the system. The results generated against the queries
are thoroughly evaluated on the criteria of time, context, history,
duration, turns, significance, relevance, and fall back questions.
