Abstract
The preferences of Web information purchasers are changing. Cost-effectiveness is becoming less regarded than costsatisfaction, which emphasizes the purchaser's psychological satisfaction. In applications of SNS(Social Network Services) based on folksonomy, a method to improve a user's cost-satisfaction in multimedia content retrieval is to use the mood inherent in multimedia items but applications of SNS encounter problems due to synonyms. In our previous study, some problems of synonyms could be solved by using internal tags consisted of arousal and valence (AV) in Thayer's Two-dimensional Model. However, in recall level 0.1, the retrieval performance of the previous study was less than a keyword-based method. In this paper, for improving the retrieval performance of recall level 0.1, a new method using 12 moods vector is proposed, and the proposed method shows good retrieval performance than the previous method and the keyword-based method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
