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http://dx.doi.org/10.6109/jkiice.2016.20.8.1407

Design and Implementation of Location Recommending Services using Personal Emotional Information based on Collaborative Filtering  

Byun, Jeong (Department of Computer Science, Graduate School, Sangmyung University)
Kim, Dong Keun (Department of Media Software, College of ICT Convergence, Sangmyung University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.8, 2016 , pp. 1407-1414 More about this Journal
Abstract
In this study, we develop that Location Recommending System using personal emotion information based on Collaborative Filtering. Previous Location Recommending System recommended a place visited by the user of the rating or the pattern of location for the user place. These systems are not high user satisfaction because that dose not consider the user status or have not objectively the information. Using user's personal emotion information to recommend a high-affinity users who have visited the place felt similar emotions objectively can improve user satisfaction with the place. In this study, a user using a mobile application directly register the recognized emotion information using the current position and bio-signal, and using the registered information measuring the similarity of user with a similarity emotion, predicts a preference for the place it is recommended to emotional place. The system consists of a user interface, a database, a recommendation module.
Keywords
Emotion Information; Collaborative Filtering; Recommending System; Smart-phone;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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