@inproceedings{f21c092e53974f9b86fdc8d108080833,
title = "CI-Bot: A hybrid chatbot enhanced by crowdsourcing",
abstract = "Question and answer website is an effective way for people to get information from others. Recently, chatbot has been more and more widely used. In this paper, we propose CI-Bot, a Crowd-Intelligence-chatBot. CI-Bot is a hybrid intelligent chatbot, in which crowdsourcing is introduced on the basis of a chatbot. When receiving a problem, the conversational partner of CI-Bot first tries to solve it automatically. If the question is beyond the knowledge of CI-Bot, expert recommender would find out experts it knows and consults them. Ultimately, the problem would be solved and the answers generated by the experts are added to a corpus, to increase the ability of CI-Bot. We implemented a prototype on the top of Hubot and Wechat. The preliminary experiment results validate the effectiveness of CI-Bot.",
author = "Xulei Liang and Rong Ding and Mengxiang Lin and Lei Li and Xingchi Li and Song Lu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017 held in Conjuction with the International Workshop on Mobile Web Data Analytics, MWDA 2017, International Workshop on Hot Topics in Big Spatial Data and Urban Computing, HotSpatial 2017, International Workshop on Graph Data Management and Analysis, GDMA 2017, 2nd International Workshop on Data Driven Crowdsourcing, DDC 2017, 2nd International Workshop on Spatio-temporal Data Management and Analytics, SDMA 2017 and International Workshop on Mobility Analytics from Spatial and Social Data, MASS 2017 ; Conference date: 07-07-2017 Through 09-07-2017",
year = "2017",
doi = "10.1007/978-3-319-69781-9\_19",
language = "英语",
isbn = "9783319697802",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "195--203",
editor = "Yang-Sae Moon and Shaoxu Song and Matthias Renz",
booktitle = "Web and Big Data - APWeb-WAIM 2017 International Workshops",
address = "德国",
}