Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
3-D virtual space creation system reflecting user's emotion by interactive evolutionary method
ICEC '03 Proceedings of the second international conference on Entertainment computing
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
Determining the semantic orientation of terms through gloss classification
Proceedings of the 14th ACM international conference on Information and knowledge management
NLTK: the Natural Language Toolkit
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
An interface test-bed for 'Kansei' filters using the touch designer visual programming environment
AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
Music analysis in consideration of feelings
Proceedings of the 2006 international conference on Game research and development
Recommender systems and their impact on sales diversity
Proceedings of the 8th ACM conference on Electronic commerce
Three types of viewers' favorite music videos
Proceedings of the international conference on Advances in computer entertainment technology
It's about time: an affective and desirable alarm clock
DPPI '07 Proceedings of the 2007 conference on Designing pleasurable products and interfaces
Just how mad are you? finding strong and weak opinion clauses
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Kansei engineering and rough sets model
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
FuzEmotion as a backward kansei engineering tool
International Journal of Automation and Computing
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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.