Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia

Hyperlinks are an essential feature of the World Wide Web. They are especially important for online encyclopedias such as Wikipedia: an article can often only be understood in the context of related articles, and hyperlinks make it easy to explore this context. But important links are often missing, and several methods have been proposed to alleviate this problem by learning a linking model based on the structure of the existing links. Here we propose a novel approach to identifying missing links in Wikipedia. We build on the fact that the ultimate purpose of Wikipedia links is to aid navigation. Rather than merely suggesting new links that are in tune with the structure of existing links, our method finds missing links that would immediately enhance Wikipedia's navigability. We leverage data sets of navigation paths collected through a Wikipedia-based human-computation game in which users must find a short path from a start to a target article by only clicking links encountered along the way. We harness human navigational traces to identify a set of candidates for missing links and then rank these candidates. Experiments show that our procedure identifies missing links of high quality

DOES THE AUGMENTATION OF SERVICE LEVEL AGREEMENTS AFFECT USER DECISIONS IN CLOUD ADOPTION SCENARIOS? – AN EXPERIMENTAL APPROACH

Despite the benefits of cloud computing, customers are reluctant to use cloud services as they have concerns about data security and privacy. Many of these concerns arise due to the lack of transparen-cy. Consequently, bridging the existing information asymmetry and, thus, fostering trust in the cloud provider is of high relevance. As service level agreements are an important trust building factor and due to their technical and complex nature, the augmentation of these is promising. Therefore, we in-vestigate the effects of augmenting service level agreements (by means of augmented browsing) on the ease of the information gathering process and simultaneously on perceived information overload, comprehension and transparency in a web-based experiment. The results of our online experiment do not confirm our assumed positive effects of augmentation. Nonetheless, we show that the ease of gath-ering information about a cloud service positively influences the perceived trustworthiness. Further-more, we demonstrate that the perceived trustworthiness of a cloud computing provider largely deter-mines the intention to use its services. Thus, besides improving security, cloud providers not only have to communicate trust-critical information but also have to identify suitable measures of information provisioning that considerably improve transparency while lowering information overload