日本社会情報学会全国大会研究発表論文集
日本社会情報学会 第26回全国大会
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ユーザ間関与に基づくTwitterフォローユーザ推薦
*北村 太一小川 祐樹諏訪 博彦太田 敏澄
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p. 229-232

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Twitter, one of micro-blogging services, was focused on by the effect of US President Obama's speech in the world in 2008, and the number of its users is increasing. Researches in recommendation method with respect to who should be the proper user to follow can be classified into two types; i.e. collaborative filtering using the followee/follower relations, and content-based filtering focusing on the contents similarity among users. However, these recommendation methods reveal shortcomings, in that they do not regard user involvement, namely the extent of communications among users. In order to include the factor of user involvement in recommendation method, a new type of recommendation system will be proposed.

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