PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation

To significantly protect the user’s privacy and prevent the user’s preference disclosure from leading to malicious entrapment, we present a combination of the recommendation algorithm and the privacy protection mechanism. In this article, we present a privacy recommendation algorithm, PrivItem2Vec,...

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Autores principales:	Zhengqiang Ge, Xinyu Liu, Qiang Li, Yu Li, Dong Guo
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/c42b2da94e284e618c356d3620fd3f39
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id	oai:doaj.org-article:c42b2da94e284e618c356d3620fd3f39
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spelling	oai:doaj.org-article:c42b2da94e284e618c356d3620fd3f392021-12-02T08:05:28ZPrivItem2Vec: A privacy-preserving algorithm for top-N recommendation1550-147710.1177/15501477211061250https://doaj.org/article/c42b2da94e284e618c356d3620fd3f392021-12-01T00:00:00Zhttps://doi.org/10.1177/15501477211061250https://doaj.org/toc/1550-1477To significantly protect the user’s privacy and prevent the user’s preference disclosure from leading to malicious entrapment, we present a combination of the recommendation algorithm and the privacy protection mechanism. In this article, we present a privacy recommendation algorithm, PrivItem2Vec, and the concept of the recommended-internet of things, which is a privacy recommendation algorithm, consisting of user’s information, devices, and items. Recommended-internet of things uses bidirectional long short-term memory, based on item2vec, which improves algorithm time series and the recommended accuracy. In addition, we reconstructed the data set in conjunction with the Paillier algorithm. The data on the server are encrypted and embedded, which reduces the readability of the data and ensures the data’s security to a certain extent. Experiments show that our algorithm is superior to other works in terms of recommended accuracy and efficiency.Zhengqiang GeXinyu LiuQiang LiYu LiDong GuoSAGE PublishingarticleElectronic computers. Computer scienceQA75.5-76.95ENInternational Journal of Distributed Sensor Networks, Vol 17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 Zhengqiang Ge Xinyu Liu Qiang Li Yu Li Dong Guo PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
description	To significantly protect the user’s privacy and prevent the user’s preference disclosure from leading to malicious entrapment, we present a combination of the recommendation algorithm and the privacy protection mechanism. In this article, we present a privacy recommendation algorithm, PrivItem2Vec, and the concept of the recommended-internet of things, which is a privacy recommendation algorithm, consisting of user’s information, devices, and items. Recommended-internet of things uses bidirectional long short-term memory, based on item2vec, which improves algorithm time series and the recommended accuracy. In addition, we reconstructed the data set in conjunction with the Paillier algorithm. The data on the server are encrypted and embedded, which reduces the readability of the data and ensures the data’s security to a certain extent. Experiments show that our algorithm is superior to other works in terms of recommended accuracy and efficiency.
format	article
author	Zhengqiang Ge Xinyu Liu Qiang Li Yu Li Dong Guo
author_facet	Zhengqiang Ge Xinyu Liu Qiang Li Yu Li Dong Guo
author_sort	Zhengqiang Ge
title	PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
title_short	PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
title_full	PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
title_fullStr	PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
title_full_unstemmed	PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
title_sort	privitem2vec: a privacy-preserving algorithm for top-n recommendation
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/c42b2da94e284e618c356d3620fd3f39
work_keys_str_mv	AT zhengqiangge privitem2vecaprivacypreservingalgorithmfortopnrecommendation AT xinyuliu privitem2vecaprivacypreservingalgorithmfortopnrecommendation AT qiangli privitem2vecaprivacypreservingalgorithmfortopnrecommendation AT yuli privitem2vecaprivacypreservingalgorithmfortopnrecommendation AT dongguo privitem2vecaprivacypreservingalgorithmfortopnrecommendation
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PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation

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