Testing transitive trust algorithms for use in information quality assessment

Information quality (IQ) in the World Wide Web is stagnant; thus there is a constant need for IQ assessment techniques. Our research works towards a model, which would employ community-driven personalization with the help of trust metrics. This paper presents results from a series of experiments, which have proven the feasibility and suitability of two transitive trust algorithms for our research. Furthermore, we have benchmarked their effectiveness in the test environment.