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데이터 그룹화를 이용한 상호진화연산 기반의 추천 시스템

Title
데이터 그룹화를 이용한 상호진화연산 기반의 추천 시스템
Alternative Title
A Recommendation System Based-on Interactive Evolutionary Computation with Data Grouping
Author(s)
Kim, Hyun TaeAhn, Chang WookAn, Jin Ung
Issued Date
2011
Citation
Journal of Institute of Control, Robotics and Systems, v.17, no.8, pp.739 - 746
Type
Article
ISSN
1976-5622
Abstract
Recently, recommender systems have been widely applied in E-commerce websites to help their customers find the items what they want. A recommender system should be able to provide users with useful information regarding their interests. The ability to immediately respond to the changes in user's preference is a valuable asset of recommender systems. This paper proposes a novel recommender system which aims to effectively adapt and respond to the immediate changes in user's preference. The proposed system combines IEC (Interactive Evolutionary Computation) with a content-based filtering method and also employs data grouping in order to improve time efficiency. Experiments show that the proposed system makes acceptable recommendations while ensuring quality and speed. From a comparative experimental study with an existing recommender system which uses the content-based filtering, it is revealed that the proposed system produces more reliable recommendations and adaptively responds to the changes in any given condition. It denotes that the proposed approach can be an alternative to resolve limitations (e.g., over-specialization and sparse problems) of the existing methods.
URI
http://hdl.handle.net/20.500.11750/1626
DOI
10.5302/J.ICROS.2011.17.8.739
Publisher
Institute of Control, Robotics and Systems
Related Researcher
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Appears in Collections:
Division of Intelligent Robot 1. Journal Articles
Division of Intelligent Robot Brain Robot Augmented InteractioN(BRAIN) Laboratory 1. Journal Articles

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