NDLI: Ergonomics Automotive Design Recommendation Using Image Based Collaborative Filtering

Content Provider	IEEE Xplore Digital Library
Author	Ho-Ill Jung Sun-Moon Jo Kee-Wook Rim Jung-Hyun Lee Kyung-Yong Chung
Copyright Year	2012
Abstract	An analysis of customers' sensibility and preferences is an important business strategy in a motor industry that is increa-singly becoming more customer oriented. This paper proposes ergonomics automotive design recommendation using the image based collaborative filtering. The proposed method applies a method that supports car design using the image based collaborative filtering utilizing sensibility as a starting point in the development process. Although a collaborative filtering process can well predict the users' interests and preferences, it cannot efficiently analyze de-sign information while considering the con-tents of specific items. The process extracts features from the image data that the users are interested in to mitigate a problem, which is regarded as an undulated analysis, and then recom-mends an automotive design by combining the image filtering and collaborative filtering that use the static relationship between the users' preference and the image color information. The pro-posed system provides a recommendation by the image based collaborative filtering. Ultimately, this paper suggests empirical applications to verify the adequacy and validity of this system.
Starting Page	1
Ending Page	6
File Size	1068412
Page Count	6
File Format	PDF
ISBN	9781467314022
e-ISBN	9781467314015
DOI	10.1109/ICISA.2012.6220920
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Visualization Filtering Ergonomics Collaboration Automobiles Automotive engineering
Content Type	Text
Resource Type	Article

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