网上导航中的信息茧
Information Cocoons in Online Navigation
摘要：
社交媒体和在线导航为我们带来了愉快的信息获取体验，同时也创造了信息茧（IC），我们无意识地被有限和有偏见的信息所困。我们提供了一个正式的定义IC的情况下，在线导航。随后，通过分析从Science，PNAS和Amazon网站中提取的真实推荐网络，并在不同的推荐系统中测试主流算法，我们证明了基于相似性的推荐技术会导致IC，它会将系统的可导航性抑制数百倍。我们进一步提出了一种灵活的推荐策略，解决了IC诱导的问题，提高了检索精度的导航，在中国最大的视频网站上的真实数据和在线实验的模拟证明。
英文摘要：
Social media and online navigation bring us enjoyable experience in accessing information, and simultaneously create information cocoons (ICs) in which we are unconsciously trapped with limited and biased information. We provide a formal definition of IC in the scenario of online navigation. Subsequently, by analyzing real recommendation networks extracted from Science, PNAS and Amazon websites, and testing mainstream algorithms in disparate recommender systems, we demonstrate that similarity-based recommendation techniques result in ICs, which suppress the system navigability by hundreds of times. We further propose a flexible recommendation strategy that solves the IC-induced problem and improves retrieval accuracy in navigation, demonstrated by simulations on real data and online experiments on the largest video website in China.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
