TY - GEN
T1 - A Blockchain-Based Collaborative Filtering Recommendation System Based on Trust
AU - Bobadilla, Dariel
AU - Lipizzi, Carlo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Blockchain
KW - Collaborative Filtering
KW - Decentralized System
KW - Recommendation Systems
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85126049889&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126049889&partnerID=8YFLogxK
U2 - 10.1109/ICCWAMTIP53232.2021.9674128
DO - 10.1109/ICCWAMTIP53232.2021.9674128
M3 - Conference contribution
AN - SCOPUS:85126049889
T3 - 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021
SP - 121
EP - 126
BT - 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021
T2 - 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2021
Y2 - 17 December 2021 through 19 December 2021
ER -