著者
保住 純 飯塚 修平 中山 浩太朗 高須 正和 嶋田 絵理子 須賀 千鶴 西山 圭太 松尾 豊
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.29, no.5, pp.449-459, 2014-09-01 (Released:2014-07-30)
参考文献数
15

The Ministry of Economy, Trade and Industry and the corporate world in Japan have recently embraced the ‘Cool Japan’ policy. They have assisted Japanese content industries in exporting Japanese media contents, such as manga (comics), to foreign countries, especially in Asia. However, this overseas expansion has not been successful in producing profits to the expected degree. The main reason for this shortfall is that companies are unable to perceive local consumer consumption trends in those countries easily and at low cost. Consequently, they are unable to select media contents that might be popular in such areas in the future. Herein, we design a consumption trend calculating system that incorporates web mining. It is readily applicable to many countries and contents. Specifically, we use web mining of data elicited from search counts on search engines, tweet counts from Twitter, and article data from Wikipedia to calculate consumption trends based on weekly manga sales data in Japan. Results show that this model can predict consumption trends for six months with high accuracy and that it can be adapted to calculate consumption trends of other contents effectively, such as anime (animation) in Japan and manga in France. Moreover, we establish the ASIA TREND MAP web service to inform industries about these calculated consumption trends for Asian countries.

言及状況

外部データベース (DOI)

はてなブックマーク (1 users, 2 posts)

[jsai][datamining][meti][prediction][asiaTrendMap][paper] Web マイニングを用いたコンテンツ消費トレンド予測システム

Twitter (8 users, 9 posts, 2 favorites)

@mofu_p_d @SINtaMen3 https://t.co/M4GGEovTmT これよんでる
アジア各国の半年後の消費トレンドを予想するサイト。論文もある。 / アジアトレンドマップ http://t.co/IhbbrOm6RC Webマイニングを用いたコンテンツ消費トレンド予測システム http://t.co/yPaIscB79E
Webマイニングを用いたコンテンツ消費トレンド予測システム http://t.co/IUgV0DtUc4

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