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In our work we investigate the relationship between semantic textual similarity and credibility of the individual sentence. For this purpose we performed an experiment to create a corpus of sentences with known credibility value. Then we calculated semantic similarity of each pair of sentences and tried to assess the credibility of a sentence using similar one. Performing comparison, we use idea to...
Typically, recommendation systems are used for increasing users' activity and spending. Most of them select a recommendation from a finite set of objects (e.g. News, products etc.) but in some cases the number of objects is so huge that standard approach based on similarity of objects will not work. The paper presents recommendation algorithms which work with an almost infinite set of websites by...
The development of the Internet is sustainable because of existing business models. Among them one of the most common is currently pay-per-click which is based on recording users' behaviors (in particular clicks but it may also be actions) and charging advertisers according to this information. On the other hand registering users clicks causes a serious threat for privacy. Additionally part of this...
Encountering unknown sellers is very common in online auction sites. In such a scenario, a buyer can not estimate trustworthiness of the unknown seller based on the seller's past behavior. The buyer is thus exposed to the risks of being cheated. In this paper we describe a stereotypes based mechanism to determine the risk of a potential transaction even if the seller is personally unknown to not only...
This paper describes an approach to evaluating teams of contributors in Wikipedia based on social network analysis. We present the idea of creating an implicit social network based on characteristics of pages' edit history and collaboration between contributors. This network consists of four dimensions: trust, distrust, acquaintance and knowledge. Trust and distrust are based on content modifications...
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