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Analysis of User Dwell Time by Category in News Application

机译:新闻应用中按类别划分的用户停留时间分析

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Dwell time indicates how long a user looked at a page, and this is used especially in fields where ratings from users such as search engines, recommender systems, and advertisements are important. Despite the importance of this index, however, its characteristics are not well known. In this paper, we analyze the dwell time of news pages according to category in smartphone application. Our aim is to clarify the characteristics of dwell time and the relation between length of news page and dwell time, for each category. The results indicated different dwell time trends for each category. For example, the social category had fewer news pages with shorter dwell time than peaks, compared to other categories, and there were a few news pages with remarkably short dwell time. We also found a large difference by category in the correlation value between dwell time and length of news page. Specifically, political news had the highest correlation value and technology news had the lowest. In addition, we found that a user tends to get sufficient information about the news content from the news title in short dwell times.
机译:停留时间表示用户浏览了页面多长时间,尤其是在其中用户的评分(例如搜索引擎,推荐系统和广告)很重要的领域中使用。尽管该索引很重要,但是其特征尚不为人所知。在本文中,我们根据智能手机应用程序中的类别分析新闻页面的停留时间。我们的目的是弄清每个类别的停留时间的特征以及新闻页面的长度与停留时间之间的关系。结果表明每种类别的停留时间趋势不同。例如,与其他类别相比,社交类别的新闻页面停留时间短于高峰,少于峰值,而新闻页面的停留时间显着短。我们还发现,停留时间和新闻页面长度之间的相关值在类别上有很大差异。具体而言,政治新闻具有最高的相关性价值,而科技新闻具有最低的相关性价值。此外,我们发现用户往往会在较短的停留时间内从新闻标题中获得有关新闻内容的足够信息。

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