DocumentCode :
3739222
Title :
Extraction of Preference of Recipe Providers and Users on Recipe-Sharing Websites
Author :
Mamoru Emoto
Author_Institution :
Sch. of Eng., Univ. of Tokyo, Tokyo, Japan
fYear :
2015
Firstpage :
694
Lastpage :
697
Abstract :
The growth of the Internet provides us with an easy access to information and methods are proposed for market analysis. This paper focuses on a method using KeyGraph for extraction and visualization of preference from information of a recipe sharing website, which enables us to grasp the user´s preferences and find business opportunities. Furthermore, several analyses are conducted to evaluate the proposed method. The results show that the presented method is promising in preference extraction.
Keywords :
"Data visualization","Market research","Data mining","Google","Feature extraction","Fluctuations"
Publisher :
ieee
Conference_Titel :
Data Mining Workshop (ICDMW), 2015 IEEE International Conference on
Electronic_ISBN :
2375-9259
Type :
conf
DOI :
10.1109/ICDMW.2015.27
Filename :
7395735
Link To Document :
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