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Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System

Research article (2016 IEEE International Conference on Web Services (ICWS), 2016) · cited 22× · AI/ML
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Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System

Summary

Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System is a scholarly article[1].

Key Facts

  • Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-core-users-based-on-trust-relationships-and-interest-similarity-in-recommender-system
MLA “Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-core-users-based-on-trust-relationships-and-interest-similarity-in-recommender-system.
BibTeX @misc{4ortxyz_identifying-core-users-based-on-trust-relationships-and-interest-similarity-in-recommender-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-core-users-based-on-trust-relationships-and-interest-similarity-in-recommender-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System — https://4ort.xyz/entity/identifying-core-users-based-on-trust-relationships-and-interest-similarity-in-recommender-system (retrieved 2026-05-24)

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