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Improving retrieval relevance using users’ explicit feedback

Research article (Aslib Journal of Information Management, 2015) · cited 13× · AI/ML
academia openalex:W2209843403
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Improving retrieval relevance using users’ explicit feedback

Summary

Improving retrieval relevance using users’ explicit feedback is a scholarly article[1].

Key Facts

  • Improving retrieval relevance using users’ explicit feedback'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). Improving retrieval relevance using users’ explicit feedback. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-retrieval-relevance-using-users-explicit-feedback
MLA “Improving retrieval relevance using users’ explicit feedback.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-retrieval-relevance-using-users-explicit-feedback.
BibTeX @misc{4ortxyz_improving-retrieval-relevance-using-users-explicit-feedback_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving retrieval relevance using users’ explicit feedback}}, year = {2026}, url = {https://4ort.xyz/entity/improving-retrieval-relevance-using-users-explicit-feedback}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving retrieval relevance using users’ explicit feedback — https://4ort.xyz/entity/improving-retrieval-relevance-using-users-explicit-feedback (retrieved 2026-05-24)

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