Key figure impact in trust-enhanced recommender systems
AI Communications - Recommender Systems
Improved trust-aware recommender system using small-worldness of trust networks
Knowledge-Based Systems
Overlay management for fully distributed user-based collaborative filtering
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Applied Intelligence
Asknext: An agent protocol for social search
Information Sciences: an International Journal
Question Waves: A multicast query routing algorithm for social search
Information Sciences: an International Journal
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In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requirements, its pitfalls and how these can be overcome. We base the formation of trust on evidential reasoning and designed with ease of adoption by existing infrastructures in mind. The paper includes a first analysis of performance based on a simulation used to investigate the impact on scalability and thus show the applicability of the protocol