Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage

• Item type: Journal(1)
• 公開日: 2012-06-15
• タイトル: Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage
• タイトル / 言語: en
• タイトル: Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] trust network, email triage, email prioritization, social network
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Sho, Tsugawa; Hiroyuki, Ohsaki; Makoto, Imase
• 著者名(英): Sho, Tsugawa; Hiroyuki, Ohsaki; Makoto, Imase
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this paper, we propose a method to prioritize email using a trust network among users for supporting email triage, and evaluate its effectiveness with extensive experiments. In recent years, the amount of email received by individuals has increased, and therefore the time required for email triage (i.e., the process of going through unhandled emails email messages and deciding what to do with them) has therefore been increasing. Golbeck et al. proposed TrustMail, which is a prototype email client that prioritizes email in user's mailbox utilizing using a trust network (i.e., a social network representing trust relationships among users). In this paper, we extend the notion of TrustMail concept to allow message-based email prioritization using inter-recipient trust, which is inferred trust score from the recipient to other recipients. We propose a method called EMIRT (Estimating Message Importance from inter-Recipient Trust) for enabling message-based prioritization. Through extensive experiments utilizing two email datasets, we quantitatively evaluate the effectiveness of EMIRT for estimating importance of emails email prioritization. Our experimental results show that EMIRT is effective for email prioritization. Specifically, our results show that EMIRT achieves significantly higher recall and precision than TrustMail in both email datasets and that EMIRT hardly gives low scores to urgently replied email (i.e., EMIRT achieves a very low false negative).; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online); DOI http://dx.doi.org/10.2197/ipsjjip.20.796; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this paper, we propose a method to prioritize email using a trust network among users for supporting email triage, and evaluate its effectiveness with extensive experiments. In recent years, the amount of email received by individuals has increased, and therefore the time required for email triage (i.e., the process of going through unhandled emails email messages and deciding what to do with them) has therefore been increasing. Golbeck et al. proposed TrustMail, which is a prototype email client that prioritizes email in user's mailbox utilizing using a trust network (i.e., a social network representing trust relationships among users). In this paper, we extend the notion of TrustMail concept to allow message-based email prioritization using inter-recipient trust, which is inferred trust score from the recipient to other recipients. We propose a method called EMIRT (Estimating Message Importance from inter-Recipient Trust) for enabling message-based prioritization. Through extensive experiments utilizing two email datasets, we quantitatively evaluate the effectiveness of EMIRT for estimating importance of emails email prioritization. Our experimental results show that EMIRT is effective for email prioritization. Specifically, our results show that EMIRT achieves significantly higher recall and precision than TrustMail in both email datasets and that EMIRT hardly gives low scores to urgently replied email (i.e., EMIRT achieves a very low false negative).; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online); DOI http://dx.doi.org/10.2197/ipsjjip.20.796; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 53, 号 6, 発行日 2012-06-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764