Search in the mood: The information filter based on ambiguous queries

Sayaka Akioka, Hideo Fukumori, Yoichi Muraoka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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 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.

Original languageEnglish
Title of host publication5th International Conference on Information Technology and Applications, ICITA 2008
Pages321-326
Number of pages6
Publication statusPublished - 1 Dec 2008
Event5th International Conference on Information Technology and Applications, ICITA 2008 - Cairns, QLD, Australia
Duration: 23 Jun 200826 Jun 2008

Publication series

Name5th International Conference on Information Technology and Applications, ICITA 2008

Conference

Conference5th International Conference on Information Technology and Applications, ICITA 2008
Country/TerritoryAustralia
CityCairns, QLD
Period23/06/0826/06/08

Keywords

  • Document classification
  • Kansei engineering
  • Recommender systems
  • Web mining

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