The document proposes a new rating algorithm that considers social networks and domain expertise. It aims to improve on existing rating systems by incorporating a friendship factor between raters and integrating information about experts' domains of knowledge. The algorithm calculates ratings using weighted rates that factor in friendship, domain knowledge, and the number of domains a resource covers. It also determines expertise values for users based on their ratings and domains, and allows expertise to propagate through a social network.
12. RC – Bayesian Weighted Rate - The average number of votes of all resources - The average rating of all resources’ ratings - The number of votes for this resource - The rating of this resource Final formula:
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