An Enhanced Framework for Web Recommenders

The Web-based transactions, Web services, and service oriented platforms require mechanism to announce, select, and use different services. There is a dilemma of `use and trust´ or `trust and use´ for different services based on the notion of reputation. Indirect servicing makes it difficult to really assess a given service or provider. The paper presents a framework and appropriate mechanisms to evaluate the services/providers in the light of their respective direct impact on user perception. It is shown that the proposed mechanism allows capturing situations usually not possible to be captured in the current approach. The technique has a major impact on e-commerce systems, on systems based on service-oriented architecture, and on all auction-based transactions.