Social Informatics - SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers
Social Informatics - SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers
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社会信息学 - SocInfo 2014 国际研讨会，西班牙巴塞罗那，2014 年 11 月 11 日，修订后的精选论文
DOI：
10.1007/978-3-319-15168-7_20
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Choudhury S
中科院分区：
文献类型：
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作者：
Choudhury S
社交媒体已经成为许多用户公布个人事件的主要场所，比如结婚、毕业或生孩子，不一而足。用户发布这样的事件并受到朋友的关注是很常见的。这类事件通常被社交平台追逐，以丰富用户的时间表，创建生活日志视频，个性化广告等。准确识别事件的一个重要步骤是学习指示此类事件存在的信号。在本文中，我们使用内容和交互特征的混合来生成事件/非事件分类模型。我们对活动和注意力两类交互特征进行了实验，分别达到了56%和83%的准确率，表明了注意特征在个人事件检测中的更高重要性。
Social media has become a prime place where many users announce their personal events, such as getting married, graduating, or having a baby, to name a few. It is common for users to post about such events and receive attention from their friends. Such events are often sought after by social platforms to enrich users timelines, to create life-log videos, to personalize ads, etc. One important step towards accurately identifying an event is learning the signals that indicate the presence of such events. In this paper we generate an event/non-event classification model using a mixture of content and interaction features. We experiment with two categories of interaction features; activity, and attention, and reached a Precision of 56 % and 83 % respectively, demonstrating the higher importance of attention features in personal event detection.