Obtaining user requirement is a premise of demand-driven product design. By the analysis of several requirements acquisition methods, as well as the change of customer’s buying behavior under network conditions, this paper puts forward the methods of user requirement knowledge acquisition by tracking user’s browsing behavior. By data purification, user identification and session identification of server log files, the info of user’s visits over a period of time in the specific product-related websites is found; the user requirement items are extracted from the visited pages; user requirement values along with the reliability are computed based on the visited numbers of the requirement items. Then, users are divided into user groups to acquire user groups’ requirements knowledge. This method can not only help understand users’ concerns of existing products’ index, but also, to some extent, reflect users’ potential demand of the products, which, in turn, can provide enterprises reference for new product development.
[1]
David A. Bell,et al.
Automatically multi-paradigm requirements modeling and analyzing: An ontology-based approach
,
2007,
Science in China Series F: Information Sciences.
[2]
Li Pheng Khoo,et al.
A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network
,
2002,
Adv. Eng. Informatics.
[3]
Yin Guo-fu,et al.
Research on Customer Requirements' Target System Based on Kano Model
,
2006
.
[4]
Hsin-Hung Wu,et al.
Using a Markov chain model in quality function deployment to analyse customer requirements
,
2006
.
[5]
Wang Li.
Research on acquisition and processing system of customer's reqiurement oriented to innovation
,
2001
.