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Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services
Research article (Enterprise Information Systems, 2019) · cited 12× · AI/ML
Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services
Summary
Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services is a scholarly article[1].
Key Facts
Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-user-similarity-using-check-ins-from-lbsn-a-mobile-recommendation-approach-for-e-commerce-and-security-service
MLA“Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-user-similarity-using-check-ins-from-lbsn-a-mobile-recommendation-approach-for-e-commerce-and-security-service.
BibTeX@misc{4ortxyz_measuring-user-similarity-using-check-ins-from-lbsn-a-mobile-recommendation-approach-for-e-commerce-and-security-service_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-user-similarity-using-check-ins-from-lbsn-a-mobile-recommendation-approach-for-e-commerce-and-security-service}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services — https://4ort.xyz/entity/measuring-user-similarity-using-check-ins-from-lbsn-a-mobile-recommendation-approach-for-e-commerce-and-security-service (retrieved 2026-05-24)
