Proceedings of the first international workshop on Social media retrieval and analysis

M. Schedl, Peter Knees, Jialie Shen
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引用次数: 1

Abstract

It is our great pleasure to welcome you to the SoMeRA 2014: International Workshop on Social Media Retrieval and Analysis, co-located with SIGIR 2014 in Gold Coast, Australia. The amount of user-generated data (including content and contextual information of the users) has been spiraling during the past few years. Social media are fundamentally changing the way how we communicate. Nowadays, people create, share, and consume a huge number of multimedia material on the web and in particular on social platforms. The faster the growth of these corpora, the harder it gets for the individual to find the media documents which satisfy a particular information need. When it comes to multimedia material in particular, the users might also exhibit an entertainment need, which may involve aspects of novelty, serendipity, familiarity, or popularity. However, current retrieval, recommendation, and browsing techniques often fall short to deal with user-generated data of various kinds (audio, image, video, text, contextual, etc.), especially on a larger scale. Satisfying the information- or entertainment need of users in social media data requires a comprehensive understanding of them, which can be gained to some extent by means of social media analysis and -mining. Corresponding user models which are built from this knowledge will improve retrieval and recommendation in social media, going far beyond text-based search which is still the most common paradigm. The gained knowledge also enables intelligently informed and enriched applications in various media domains. The purpose of SoMeRA 2014 is to bring together researchers of different domains who are involved in social media analysis, mining, and retrieval, for instance, experts in multimedia, recommender systems, and user modeling. This is reflected by the 19 submissions received that cover topics as diverse as multimedia retrieval and exploration, user-aware recommender systems, network analysis, event detection, and computational linguistics in social media. Out of these, we selected the most outstanding works to be presented at the workshop, which features 5 oral and 8 poster presentations. In addition, the program includes a keynote speech by Prof. Tat-Seng Chua, National University of Singapore, entitled "From Social Media Data to Actionable Analytics".
第一届社会媒体检索与分析国际研讨会论文集
我们非常高兴地欢迎您参加SoMeRA 2014:社交媒体检索和分析国际研讨会,该研讨会与SIGIR 2014在澳大利亚黄金海岸共同举办。用户生成的数据(包括用户的内容和上下文信息)的数量在过去几年中一直呈螺旋式增长。社交媒体正在从根本上改变我们的沟通方式。如今,人们在网络上,特别是在社交平台上创造、分享和消费大量的多媒体材料。这些语料库增长得越快,个人就越难找到满足特定信息需求的媒体文档。特别是当涉及到多媒体材料时,用户还可能表现出娱乐需求,这可能涉及新奇、意外、熟悉或流行的方面。然而,当前的检索、推荐和浏览技术往往无法处理各种类型的用户生成数据(音频、图像、视频、文本、上下文等),特别是在更大的范围内。满足用户在社交媒体数据中的信息或娱乐需求,需要对用户进行全面的了解,这可以通过社交媒体分析和挖掘在一定程度上获得。根据这些知识建立的相应的用户模型将改善社交媒体中的检索和推荐,远远超出目前最常见的基于文本的搜索模式。获得的知识还可以在各种媒体领域中实现智能通知和丰富的应用程序。SoMeRA 2014的目的是将参与社会媒体分析、挖掘和检索的不同领域的研究人员聚集在一起,例如多媒体、推荐系统和用户建模方面的专家。收到的19份作品反映了这一点,它们涵盖了多媒体检索和探索、用户感知推荐系统、网络分析、事件检测和社交媒体中的计算语言学等多种主题。在这些作品中,我们选出了最优秀的作品在研讨会上展示,其中包括5次口头演讲和8次海报演讲。此外,会议还邀请了新加坡国立大学蔡达生教授发表题为“从社交媒体数据到可操作分析”的主题演讲。
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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