Eddi: interactive topic-based browsing of social status streams
Eddi: interactive topic-based browsing of social status streams
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DOI：
10.1145/1866029.1866077
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发表时间：
2010-10
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影响因子：
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通讯作者：
Michael S. Bernstein;B. Suh;Lichan Hong;Jilin Chen;S. Kairam;Ed H. Chi
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作者：
Michael S. Bernstein;B. Suh;Lichan Hong;Jilin Chen;S. Kairam;Ed H. Chi
Twitter信息流超载：活跃用户每天收到数百条信息，现有的界面迫使我们在按时间顺序排列的沼泽中行进，以找到感兴趣的推文。我们提出了一种方法，将用户自己的提要组织到连贯的集群趋势主题中，以进行更有针对性的探索。我们的Twitter客户端名为Eddi，它将用户提要中的tweet分组到明确或隐含提到的主题中，然后用户可以浏览感兴趣的项目。为了实现这种主题聚类，我们开发了一种新的算法，通过语言句法转换和对搜索引擎的标注来发现短状态更新中的主题。算法评估表明，当搜索引擎标注使用简单的句法转换和退避策略时，它们的表现优于其他方法。活跃的Twitter用户对Eddi进行了评估，发现与标准的按时间顺序排列的界面相比，Eddi是一种更高效、更有趣的方式来浏览铺天盖地的状态更新提要。
Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically-ordered morass to find tweets of interest. We present an approach to organizing a user's own feed into coherently clustered trending topics for more directed exploration. Our Twitter client, called Eddi, groups tweets in a user's feed into topics mentioned explicitly or implicitly, which users can then browse for items of interest. To implement this topic clustering, we have developed a novel algorithm for discovering topics in short status updates powered by linguistic syntactic transformation and callouts to a search engine. An algorithm evaluation reveals that search engine callouts outperform other approaches when they employ simple syntactic transformation and backoff strategies. Active Twitter users evaluated Eddi and found it to be a more efficient and enjoyable way to browse an overwhelming status update feed than the standard chronological interface.