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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...
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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