A Protocol for a Distributed Recommender System

Abstract

Abstract. We present a domain model and protocol for the exchange of recommendations by selfish agents without the aid of any centralized control. Our model captures a subset of the realities of recommendation exchanges in the Internet. We provide an algorithm that selfish agents can use for deciding whether to exchange recommendations and with whom. We analyze this algorithm and show that, under certain common circumstances, the agents' rational choice is to exchange recommendations. Finally, we have implemented our model and algorithm and tested the performance of various populations. Our results show that both the social welfare and the individual utility of the agents is increased by participating in the exchange of recommendations.

Mobile-to-Mobile Video Recommendation

“…A probabilistic model-based CF is proposed by Wang et al [8] for a P2P network. Other related work focuses on the security and privacy aspect, including providing user incentive [5], trust of rating protocol and privacy [7]. DTN Content Dissemination: There are many unicast DTN routing schemes designed to improve point-to-point delivery probability and/or minimize delay [15].…”