• Blockchain
• Distributed Ledger Technology
• Recommender System
• Smart Contract

Nowadays information available on the World Wide Web has reached unprecedented growth and it makes it difficult for users to find the most relevant information for them. In order to alleviate such issue, Recommender Systems (RSs) have been proposed. They are used to collect opinions and preferences about a set of items, process such preferences and build a personalized information access.
While the most part of current RSs exploit centralized architecture to provide the service, this thesis proposes an alternative approach for building a general purpose RS that provides information to users with more transparent recommendation strategy. Indeed, the proposed framework is built on top of a Distributed Ledger Technology platform that runs without any centralized authority and it supports both decentralized recommendations and ranking of different items. A preliminary evaluation on the Ethereum test network demonstrated the feasibility of the framework and its ability to run without any possibility of censorship and risk to be altered in a second moment.