Analysis of User Dwell Time by Category in News Application

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI:10.1109/WI.2018.000-3

Yoshifumi Seki, Mitsuo Yoshida

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引用次数: 5

Abstract

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.

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新闻应用类别用户停留时间分析

停留时间表示用户查看页面的时间，这尤其用于搜索引擎、推荐系统和广告等用户评分很重要的领域。尽管这个指数很重要，但是它的特点并不为人所知。本文对智能手机应用中各类新闻页面的停留时间进行了分析。我们的目的是澄清停留时间的特征，以及新闻页面长度与停留时间之间的关系。结果表明，每个类别的停留时间趋势不同。例如，与其他类别相比，社交类别的停留时间比峰值短的新闻页面更少，并且有一些停留时间非常短的新闻页面。我们还发现，新闻页面停留时间和长度之间的相关值在类别上存在很大差异。具体而言，政治新闻的相关值最高，科技新闻的相关值最低。此外，我们发现用户倾向于在较短的停留时间内从新闻标题中获得关于新闻内容的足够信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)

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