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Detecting fake reviewers in heterogeneous networks of buyers and sellers: a collaborative training-b...

Detecting fake reviewers in heterogeneous networks of buyers and sellers: a collaborative training-b...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f6feb5d0d36a42408b20e7153d277780

Detecting fake reviewers in heterogeneous networks of buyers and sellers: a collaborative training-based spammer group algorithm

About this item

Full title

Detecting fake reviewers in heterogeneous networks of buyers and sellers: a collaborative training-based spammer group algorithm

Publisher

Singapore: Springer Nature Singapore

Journal title

Cybersecurity, 2023-12, Vol.6 (1), p.26-24, Article 26

Language

English

Formats

Publication information

Publisher

Singapore: Springer Nature Singapore

More information

Scope and Contents

Contents

It is not uncommon for malicious sellers to collude with fake reviewers (also called spammers) to write fake reviews for multiple products to either demote competitors or promote their products’ reputations, forming a gray industry chain. To detect spammer groups in a heterogeneous network with rich semantic information from both buyers and sellers...

Alternative Titles

Full title

Detecting fake reviewers in heterogeneous networks of buyers and sellers: a collaborative training-based spammer group algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f6feb5d0d36a42408b20e7153d277780

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f6feb5d0d36a42408b20e7153d277780

Other Identifiers

ISSN

2523-3246

E-ISSN

2523-3246

DOI

10.1186/s42400-023-00159-8

How to access this item