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Hybrid recommendation algorithm based on real-valued RBM and CNN

Hybrid recommendation algorithm based on real-valued RBM and CNN

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8a76ced047948278755484b06b701f6

Hybrid recommendation algorithm based on real-valued RBM and CNN

About this item

Full title

Hybrid recommendation algorithm based on real-valued RBM and CNN

Publisher

AIMS Press

Journal title

Mathematical biosciences and engineering : MBE, 2022-01, Vol.19 (10), p.10673-10686

Language

English

Formats

Publication information

Publisher

AIMS Press

More information

Scope and Contents

Contents

With the unprecedented development of big data, it is becoming hard to get the valuable information hence, the recommendation system is becoming more and more popular. When the limited Boltzmann machine is used for collaborative filtering, only the scoring matrix is considered, and the influence of the item content, the user characteristics and the...

Alternative Titles

Full title

Hybrid recommendation algorithm based on real-valued RBM and CNN

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d8a76ced047948278755484b06b701f6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8a76ced047948278755484b06b701f6

Other Identifiers

ISSN

1551-0018

E-ISSN

1551-0018

DOI

10.3934/mbe.2022499

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