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Task recommender system using semantic clustering to identify the right personnel

Research article (VINE Journal of Information and Knowledge Management Systems, 2019) · cited 16× · AI/ML
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Summary

Task recommender system using semantic clustering to identify the right personnel is a scholarly article[1].

Key Facts

  • Task recommender system using semantic clustering to identify the right personnel'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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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.

APA 4ort.xyz Knowledge Graph. (2026). Task recommender system using semantic clustering to identify the right personnel. Retrieved October 18, 2026, from https://4ort.xyz/entity/task-recommender-system-using-semantic-clustering-to-identify-the-right-personnel
MLA “Task recommender system using semantic clustering to identify the right personnel.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/task-recommender-system-using-semantic-clustering-to-identify-the-right-personnel.
BibTeX @misc{4ortxyz_task-recommender-system-using-semantic-clustering-to-identify-the-right-personnel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Task recommender system using semantic clustering to identify the right personnel}}, year = {2026}, url = {https://4ort.xyz/entity/task-recommender-system-using-semantic-clustering-to-identify-the-right-personnel}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Task recommender system using semantic clustering to identify the right personnel — https://4ort.xyz/entity/task-recommender-system-using-semantic-clustering-to-identify-the-right-personnel (retrieved 2026-10-18)

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