Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval

Majumder, Anirban; Pande, Abhay H.; Vonteru, Kondalarao; Gangwar, Abhishek; Maji, Subhadeep; Bhatia, Pankaj; Goyal, Pawan

doi:10.1007/978-3-319-76941-7_51

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Jusoh [13] proposed a method to persuade e-customers to buy products through recommendation and negotiation. Majumder et al [14] built a chatbot to help customers with category-sensitive retrieval techniques and obtained quality improvements. Koetter et al [15] investigated the potential usage of chatbots in insurance companies and developed a prototype for an exemplary insurance scenario.…”

Section: Related Workmentioning

confidence: 99%

A Chatbot System to Support Mine Safety Procedures during Natural Disasters

Tsai

Chan

et al. 2021

Sustainability

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This study developed a chatbot to improve the efficiency of government activation of mine safety procedures during natural disasters. Taiwan has a comprehensive governmental system dedicated to responding to frequent natural disasters, and the Bureau of Mines has instituted clear procedures to ensure the delivery of disaster alarms and damage reports. However, the labor- and time-consumption procedures are inefficient. In this study, we propose a system framework for disaster-related information retrieval and immediate notifications to support the execution of mine safety procedures. The framework utilizes instant messaging (IM) applications as the user interface to look up information and send messages to announce the occurrence of disaster events. We evaluated the efficiency of the procedures before and after adopting the system and achieved a time-cost reduction of 55.8 min among three types of disaster events. The study has proven the feasibility of adopting novel techniques for decision-making and assures the improvement of the efficiency and effectiveness of the procedure activation.

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Section: Related Workmentioning

confidence: 99%