Title
Recommendation system for automatic design of magazine covers
Abstract
In this paper, we present a recommendation system for the automatic design of magazine covers. Our users are non-designer designers: individuals or small and medium businesses who want to design without hiring a professional designer while still wanting to create aesthetically compelling designs. Because a design should have a purpose, we suggest a number of semantic features to the user, e.g., "clean and clear," "dynamic and active," or "formal," to describe the color mood for the purpose of his/her design. Based on these high level features and a number of low level features, such as the complexity of the visual balance in a photo, our system selects the best photos from the user's album for his/her design. Our system then generates several alternative designs that can be rated by the user. Consequently, our system generates future designs based on the user's style. In this fashion, our system personalizes the designs of a user based on his/her preferences.
Year
DOI
Venue
2013
10.1145/2449396.2449411
IUI
Keywords
Field
DocType
color mood,high level feature,low level feature,recommendation system,automatic design,medium business,alternative design,future design,best photo,aesthetically compelling design,autonomous,personalization,layout,aesthetics
Recommender system,World Wide Web,User experience design,Computer science,Human–computer interaction,Multimedia,Personalization
Conference
Citations 
PageRank 
References 
14
0.81
17
Authors
8
Name
Order
Citations
PageRank
Ali Jahanian17519.88
Jerry Liu2828.65
Qian Lin38810.97
Daniel Tretter414112.85
Eamonn O'Brien-Strain526418.47
Seungyon Claire Lee6996.60
Nic Lyons7252.77
Jan P. Allebach81230170.88