Real-time creation of frequently asked questions

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Abstract

This paper analyzes the case duration of product defects in high-tech product customer support. User inquiries about new defects often increase very rapidly within a few weeks. They continue to increase until corresponding solutions are provided or new versions appear. Typical user inquiries are added into FAQ (frequently-asked questions) case bases using conventional case-based reasoning (CBR) tools by expert engineers later on. However, some additions take too much time. Such knowledge may really be necessary within a few weeks after a problem rst appears. This paper describes SignFinder, which analyzes textual user inquiries stored in a database of a call tracking system and extracts remarkably increasing cases between two user-specied time periods. If SignFinder is given a problem description, it displays a list of recently increasing keywords in the cases that include the problem description. These keywords can signal new defects. An empirical experiment shows that such increasing keywords can become salient features for retrieving signs of new defects not yet recognized by expert engineers. SignFinder is not a general-purpose case retriever. It only retrieves frequency-increasing similar-looking cases to a user’s problem description. SignFinder lls in the time gap between the rst appearing time of a new defect and the time when the defect and its solution are added into a FAQ case base using a conventional CBR system.

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APA

Shimazu, H., & Kusui, D. (2001). Real-time creation of frequently asked questions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2080, pp. 611–621). Springer Verlag. https://doi.org/10.1007/3-540-44593-5_43

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