Can social bookmarking enhance search in the web?
Can social bookmarking enhance search in the web?
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DOI：
10.1145/1255175.1255198
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发表时间：
2007-06
期刊：
影响因子：
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通讯作者：
Y. Yanbe;A. Jatowt;S. Nakamura;Katsumi Tanaka
中科院分区：
文献类型：
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作者：
Y. Yanbe;A. Jatowt;S. Nakamura;Katsumi Tanaka
社会书签是一种新兴的Web服务类型，它帮助用户共享、分类和发现感兴趣的资源。在本文中，我们探讨了增强搜索的概念，其中利用社会书签系统的数据来增强搜索在Web上。我们建议将广泛使用的基于链接的排名度量与使用社会书签数据得出的排名度量相结合。首先，这通过结合来自书签用户的聚合数据的流行度估计来提高标准的基于链接的搜索的精度。其次，它为扩展现有搜索引擎的搜索能力提供了机会。书签用户的个人贡献以及他们活动的一般统计数据在这里用于一种新的复杂搜索，其中使用上下文，时间或情感相关的信息。我们通过对从社会书签系统获得的数据集进行的一系列实验来研究社会书签系统在增强网络搜索方面的有用性。接下来，我们展示了实现所提出的方法的原型系统，我们提出了一些初步的结果。
Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results.