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
Toward an ontology-enhanced information filtering agent
ACM SIGMOD Record
Integrating word relationships into language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data 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
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
Recognition and classification of noun phrases in queries for effective retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Kansei engineering and rough sets model
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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The quick spread of web services has triggered the flood of information, and requests people to choose a valid set of queries for useful information retrieval in order to extract what they really need. In actual, however, appropriate query generation is recognized as one of the advanced tasks, and an information retrieval system that allows ambiguous search is desired. This paper addresses this problem through the information filter with kansei engineering approach. Kansei engineering is an activity to embrace psychological needs and feelings of users into engineering field, and often requires psychological profiling. We propose a methodology to apply kansei engineering to information filter in computer scientific fashion, so as to utilize the information filter as a recommender that accepts ambiguous information search.