Search in the mood: the information filter based on ambiguous queries Online publication date: Wed, 25-Mar-2009
by Sayaka Akioka, Hideo Fukumori, Yoichi Muraoka
International Journal of Computer Applications in Technology (IJCAT), Vol. 34, No. 4, 2009
Abstract: Following the rapid promotion of e-commerce, an unprecedented number of products are now merchandised via online stores. Behind the prosperity of e-commerce, however, consumers are now grabbling for what they purchase, drowning in a slew of offerings. In order to assist customers on decision-making, this paper introduces the information filter with the concept of 'kansei engineering'. This filter allows users to search the products based on abstract queries and provides the variety of recommendations. 'Kansei' is a Japanese vocabulary that represents the psychological feeling or image of a product and kansei engineering is an activity to develop a new product translating a consumer's needs and feelings. The concept of kansei engineering meets the requirement to bring out the customer's abstract demand that is hard to cover with lexical match. The authors evaluated the filter with actual product data retrieved from Yahoo! shopping site and demonstrate its flexibility and potential of the filter.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook