A Blockchain-Based Collaborative Filtering Recommendation System Based on Trust

Dariel Bobadilla, Carlo Lipizzi

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations

    Abstract

    Blockchain has enabled businesses to innovate by creating a decentralized system that transforms power affects a wide range of industries, including banking, finance, manufacturing, supply chain management, healthcare, and government. Many industries, including e-commerce, could use this model to promote scalability, security, and decentralization. We are entering a new age of information sharing powered by blockchain technology. Building trust in distributed environments without relying on authorities represents a technological advance that could transform many industries, including recommendation systems. A new and advanced way of exploring Blockchain and recommendation systems (RS) will be explored in this research. We propose a decentralized recommendation system by formulating a decentralized matrix completion form based on the popular collaborative filleting (CF) model by incorporating it into a decentralized network. Our goal is to make online activities more secure and trusted by incorporating smart contracts in the main blockchain protocol. Using blockchain technology in recommendation systems, we will be able to make online activities more secure. A smart contract system is created that enables enterprises to use a secure database to cooperate and continuously maintain an updated model. As part of the learning case studies, a collaborative filtering model is used for recommendation purposes along with the decentralized concept of blockchain for storage and computation in such a way that data is fully distributed. An incentive mechanism evaluates the model accuracy by offering a trust-based, high-performing recommendation system.

    Original languageEnglish
    Title of host publication2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021
    Pages121-126
    Number of pages6
    ISBN (Electronic)9781665413640
    DOIs
    StatePublished - 2021
    Event18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021 - Chengdu, Sichuan Province, China
    Duration: 17 Dec 202119 Dec 2021

    Publication series

    Name2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021

    Conference

    Conference18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021
    Country/TerritoryChina
    CityChengdu, Sichuan Province
    Period17/12/2119/12/21

    Keywords

    • Blockchain
    • Collaborative Filtering
    • Decentralized System
    • Recommendation Systems
    • Trust

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