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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/12231
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タイトル: | Culture Based Preference for the Information Feeding Mechanism in Online Social Networks |
著者: | Ratikan, Arunee Shikida, Mikifumi |
キーワード: | Online Social Networks Information feeding mechanism Information overload Culture differences |
発行日: | 2014-04-01 |
出版者: | The Institute of Electronics, Information and Communication Engineers (IEICE) |
誌名: | IEICE Transactions on Information and Systems |
巻: | E97-D |
号: | 4 |
開始ページ: | 705 |
終了ページ: | 713 |
抄録: | Online Social Networks (OSNs) have recently been playing an important role in communication. From the audience aspect, they enable audiences to get unlimited information via the information feeding mechanism (IFM), which is an important part of the OSNs. The audience relies on the quantity and quality of the information served by it. We found that existing IFMs can result in two problems: information overload and cultural ignorance. In this paper, we propose a new type of IFM that solves these problems. The advantage of our proposed IFM is that it can filter irrelevant information with consideration of audiences' culture by using the Naïve Bayes (NB) algorithm together with features and factors. It then dynamically serves interesting and important information based on the current situation and preference of the audience. This mechanism helps the audience to reduce the time spent in finding interesting information. It can be applied to other cultures, societies and businesses. In the near future, the audience will be provided with excellent, and less annoying, communication. Through our studies, we have found that our proposed IFM is most appropriate for Thai and some groups of Japanese audiences under the consideration of audiences' culture. |
Rights: | Copyright (C) 2014 The Institute of Electronics, Information and Communication Engineers (IEICE). Arunee Ratikan and Mikifumi Shikida, IEICE Transactions on Information and Systems, E97-D(4), 2014, 705-713. |
URI: | http://hdl.handle.net/10119/12231 |
資料タイプ: | publisher |
出現コレクション: | f10-1. 雑誌掲載論文 (Journal Articles)
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20925.pdf | | 341Kb | Adobe PDF | 見る/開く |
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