Reusable components for online reputation systems

Abstract

Reputation systems have been extensively explored in various disciplines and application areas. A problem in this context is that the computation engines applied by most reputation systems available are designed from scratch and rarely consider well established concepts and achievements made by others. Thus, approved models and promising approaches may get lost in the shuffle. In this work, we aim to foster reuse in respect of trust and reputation systems by providing a hierarchical component taxonomy of computation engines which serves as a natural framework for the design of new reputation systems. In order to assist the design process we, furthermore, provide a component repository that contains design knowledge on both a conceptual and an implementation level. To evaluate our approach we conduct a descriptive scenario-based analysis which shows that it has an obvious utility from a practical point of view. Matching the identified components and the properties of trust introduced in literature, we finally show which properties of trust are widely covered by common models and which aspects have only rarely been considered so far.

State of the art of reputation-enhanced recommender systems

“…Sim- ilar to recommender systems, common rating scales are {−1, 0, 1} and {1, 2, 3, 4, 5}. The reputation system collects the feedback data and employs them to calculate a reputation value for each user according to the following computation process [43]. At first, the reputation system may filter or weight the ratings depending on different parameters such as the timestamp of the encounter and the reputation of the rater.…”

Interactive Reputation Systems

“…reputation value). Based on these three main classes, 14 secondary component classes, 26 components and 36 subsets were identified (Sänger et al 2015c). Here, the components and sub-sets represent examples of how the functional blocks were instantiated in different trust models.…”

“…Fig. 5 Classes of filtering-, weighting-and aggregationtechniques (Sänger et al 2015c) description (ID, type, URL, parameter, example call, example output) of each component as reusable web services. 7 The component repository (centrally stored) is publicly available and encourages researchers to add novel components and extend existing ideas.…”

“…While there has been considerable work on certain building blocks of interactive reputation systems [(e.g. modularizing and configuring the computation (Hillebrand and Coetzee 2015;Sänger et al 2015c) or displaying reputation data in interactive visualizations (Sänger et al 2015b)], the work presented in this paper is the first to the best of our knowledge that connects the distinct building blocks to introduce the complete and integrated concept of interactive reputation systems.…”

Sistema De Reputação Online: A Importância Das Informações Do Anfitrião Na Geração De Sua Reputação Em Relação À Expectativa E À Confiança Do Hóspede

“…É proibida a reprodução total ou parcial do trabalho sem autorização da universidade, do autor e do orientador. Para contribuir para a literatura de reputação online (DELLAROCAS, 2003;JØSANG;ISMAIL;BOYD, 2007;MALAGA, 2001;SÄNGER;RICHTHAMMER;PERNUL, 2015;SIMPSON, 2011;TAVAKOLIFARD;ALMEROTH, 2012;VAVILIS;PETKOVIĆ;ZANNONE, 2014;ZACHARIA;MOUKAS;MAES, 2000), este trabalho investigou a formação da reputação online de indivíduos, geradas a partir de sites de hospedagem de consumo colaborativo. Foi proposta uma nova forma de geração de reputação online do anfitrião (pessoa prestadora de serviço de hospedagem), em que as informações postadas pelo próprio anfitrião (e.g.…”