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Simple Dynamic Emission Strategiesrnfor Microblog Filtering

机译:微博过滤的简单动态排放策略

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摘要

Push notifcations from social media provide a method tornkeep up-to-date on topics of personal interest. To be eu000bec-rntive, notifcations must achieve a balance between pushingrntoo much and pushing too little. Push too little and thernuser misses important updates; push too much and the userrnis overwhelmed by unwanted information. Using data fromrnthe TREC 2015 Microblog track, we explore simple dynamicrnemission strategies for microblog push notifcations. The keyrnto eu000bective notifcations lies in establishing and maintain-rning appropriate thresholds for pushing updates. We explorernand evaluate multiple threshold setting strategies, includingrnpurely static thresholds, dynamic thresholds without userrnfeedback, and dynamic thresholds with daily feedback. Ourrnbest technique takes advantage of daily feedback in a sim-rnple yet eu000bective manner, achieving the best known resultrnreported in the literature to date.
机译:来自社交媒体的推送通知提供了一种方法,可以使有关个人兴趣的主题保持最新状态。为使行为正常,通知必须在推得太多和推得太少之间取得平衡。推送得太少,用户就会错过重要更新;推得太多,用户就会被不需要的信息淹没。使用TREC 2015 Microblog跟踪中的数据,我们探索了微博推送通知的简单动态发射策略。生效通知的关键在于建立和维护适当的阈值以推动更新。我们探索并评估了多种阈值设置策略,包括纯静态阈值,无用户反馈的动态阈值以及具有每日反馈的动态阈值。我们最好的技术以一种简单而有效的方式利用了每日反馈,从而获得了迄今为止文献中报道的最著名的结果。

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  • 来源
    《ACM SIGIR FORUM》 |2016年第21期|1009-1012|共4页
  • 作者单位

    David R. Cheriton School of Computer ScienceUniversity of Waterloo, Ontario, Canada;

    David R. Cheriton School of Computer ScienceUniversity of Waterloo, Ontario, Canada;

    David R. Cheriton School of Computer ScienceUniversity of Waterloo, Ontario, Canada;

    David R. Cheriton School of Computer ScienceUniversity of Waterloo, Ontario, Canada;

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