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An effective recommender system by unifying user and item trust information for B2B applications

Research article (Journal of Computer and System Sciences, 2015) · cited 71× · AI/ML
academia openalex:W1983835681
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An effective recommender system by unifying user and item trust information for B2B applications

Summary

An effective recommender system by unifying user and item trust information for B2B applications is a scholarly article[1].

Key Facts

  • An effective recommender system by unifying user and item trust information for B2B applications's instance of is recorded as scholarly article[2].

Related Entities

Jie Lu

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). An effective recommender system by unifying user and item trust information for B2B applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-recommender-system-by-unifying-user-and-item-trust-information-for-b2b-applications
MLA “An effective recommender system by unifying user and item trust information for B2B applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-recommender-system-by-unifying-user-and-item-trust-information-for-b2b-applications.
BibTeX @misc{4ortxyz_an-effective-recommender-system-by-unifying-user-and-item-trust-information-for-b2b-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective recommender system by unifying user and item trust information for B2B applications}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-recommender-system-by-unifying-user-and-item-trust-information-for-b2b-applications}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective recommender system by unifying user and item trust information for B2B applications — https://4ort.xyz/entity/an-effective-recommender-system-by-unifying-user-and-item-trust-information-for-b2b-applications (retrieved 2026-05-24)

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