Extraction of Preference of Recipe Providers and Users on Recipe-Sharing Websites

Mamoru Emoto · 2015

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.

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