TY - GEN
T1 - Design of E-commerce chat robot for automatically answering customer question
AU - Bhawiyuga, Adhitya
AU - Fauzi, M. Ali
AU - Pramukantoro, Eko Sakti
AU - Yahya, Widhi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In order to provide an excellent service, the seller in e-commerce world is required to actively involves in communication with its customer. Nevertheless, in several condition e.g. in vacation or during a rest, the seller might be unable to communicate with his/her customer. While employing a customer service can be a partial solution, it may involves additional costs for paying customer service persons. In this paper, we propose the design and implementation of e-commerce chatbot system which provides an automatic response to the incoming customer-to-seller question. In general, the proposed system consists of two main agents : communication and intelligent part. In order to get the question message sent by the customer, the communication agent periodically performs a request to Telegram server using a standard HTTP protocol. Upon reception, it forwards that question to intelligent agent which then find the closest instance in predefined question-answer corpora. Notice that, we utilize the Levenstein distance to measure the difference between a submitted question with that of in predefined question-answer corpora. Once an closest instance is selected, the intelligent agent forward the answer to communication agent which then send the answer back to the sender through Telegram chat service. From usability and performance testing result, the proposed system can deliver the automatic answer in less than 5 seconds with relatively good matching accuracy.
AB - In order to provide an excellent service, the seller in e-commerce world is required to actively involves in communication with its customer. Nevertheless, in several condition e.g. in vacation or during a rest, the seller might be unable to communicate with his/her customer. While employing a customer service can be a partial solution, it may involves additional costs for paying customer service persons. In this paper, we propose the design and implementation of e-commerce chatbot system which provides an automatic response to the incoming customer-to-seller question. In general, the proposed system consists of two main agents : communication and intelligent part. In order to get the question message sent by the customer, the communication agent periodically performs a request to Telegram server using a standard HTTP protocol. Upon reception, it forwards that question to intelligent agent which then find the closest instance in predefined question-answer corpora. Notice that, we utilize the Levenstein distance to measure the difference between a submitted question with that of in predefined question-answer corpora. Once an closest instance is selected, the intelligent agent forward the answer to communication agent which then send the answer back to the sender through Telegram chat service. From usability and performance testing result, the proposed system can deliver the automatic answer in less than 5 seconds with relatively good matching accuracy.
UR - https://www.scopus.com/pages/publications/85049302729
U2 - 10.1109/SIET.2017.8304128
DO - 10.1109/SIET.2017.8304128
M3 - Conference contribution
AN - SCOPUS:85049302729
T3 - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
SP - 159
EP - 162
BT - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Y2 - 24 November 2017 through 25 November 2017
ER -