Movie recommendation and classification system using block chain
Article
Article Title | Movie recommendation and classification system using block chain |
---|---|
ERA Journal ID | 32174 |
Article Category | Article |
Authors | Abduljabbar, Tamara, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan |
Journal Title | Web Intelligence |
Journal Citation | 22 (4), pp. 659-680 |
Number of Pages | 16 |
Year | 2024 |
Publisher | IOS Press |
Place of Publication | Netherlands |
ISSN | 1570-1263 |
1875-9289 | |
2405-6456 | |
2405-6464 | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/WEB-230346 |
Web Address (URL) | https://content.iospress.com/articles/web-intelligence/web230346 |
Abstract | Recommender Systems are mainly used in various e-commerce applications, especially online stores threatening users’ privacy. The privacy issues can be overcome by using security solutions, which include blockchain technology for privacy applications. The fusion of the Internet of Things and blockchain technology has fully improved modern distributed systems. The combination guarantees the safety and scalability of the recommender system. We aim to create an authorized secure exchange device using blockchain-enabled multiparty computation by adding smart contracts to the core blockchain protocol. The recommendation structure and Blockchain technology make online shopping more convenient and private. We propose a blockchain-related recommender system using the “movielens” data. The case study includes a smart contract model that recommends movies to buyers. Initially, we tested the model on a small “movielens dataset” and extended it to a 3M movielens dataset. We developed a classifier model for movielens and proposed a Dual light graph convolutional network for movielens data classification. Our results, including ablation analysis, show that blockchain strategies and Dual light graph convolutional networks can effectively improve recommender systems’ privacy. Furthermore, the suggested blockchain technique can be stretched by similar procedures. |
Keywords | Blockchain; recommender systems; privacy preserving; decentralized system; Ethereum |
Related Output | |
Is part of | Blockchain for recommender systems |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460299. Artificial intelligence not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
This article is part of a UniSQ Thesis by publication. See Related Output. | |
Byline Affiliations | University of Southern Queensland |
School of Mathematics, Physics and Computing | |
School of Business |
https://research.usq.edu.au/item/zqz03/movie-recommendation-and-classification-system-using-block-chain
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