Dynamic active probing of helpdesk databases

Helpdesk databases are used to store past interactions between customers and companies to improve customer service quality. One common scenario of using helpdesk database is to find whether recommendations exist given a new problem from a customer. However, customers often provide incomplete or even inaccurate information. Manually preparing a list of clarification questions does not work for large databases. This paper investigates the problem of automatic generation of a minimal number of questions to reach an appropriate recommendation. This paper proposes a novel dynamic active probing method. Compared to other alternatives such as decision tree and case-based reasoning, this method has two distinctive features. First, it actively probe the customer to get useful information to reach the recommendation, and the information provided by customer will be immediately used by the method to dynamically generate the next questions to probe. This feature ensures that all available informa...

• Type: Journal
• Year: 2008
• Where: PVLDB
• Authors: Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang, Yihong Gong
• Keywords: Customer, Customer Service Quality, Helpdesk Database, PVLDB 2008