Enhancing Traditional Recommender Systems via Social Communities

Leschek Homann, Denis Mayr Lima Martins, Gottfried Vossen, Karsten Kraume

Open source

DOI: 10.1142/s2196888819500040
Published: 2019-02
Container: Vietnam Journal of Computer Science
Publisher: World Scientific Pub Co Pte Lt
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1142/s2196888819500040,
  title = {Enhancing Traditional Recommender Systems via Social Communities},
  author = {Leschek Homann and Denis Mayr Lima Martins and Gottfried Vossen and Karsten Kraume},
  year = {2019},
  journal = {Vietnam Journal of Computer Science},
  doi = {10.1142/s2196888819500040},
  url = {https://doi.org/10.1142/s2196888819500040}
}

RIS

TY  - JOUR
TI  - Enhancing Traditional Recommender Systems via Social Communities
AU  - Leschek Homann
AU  - Denis Mayr Lima Martins
AU  - Gottfried Vossen
AU  - Karsten Kraume
PY  - 2019
JO  - Vietnam Journal of Computer Science
DO  - 10.1142/s2196888819500040
UR  - https://doi.org/10.1142/s2196888819500040
ER  -

APA

Homann, L., Martins, D. M. L., Vossen, G., & Kraume, K. (2019). Enhancing Traditional Recommender Systems via Social Communities. Vietnam Journal of Computer Science. https://doi.org/10.1142/s2196888819500040

Source records

crossref · retrieved 2026-09-25T20:33:05.652Z