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Exploiting Relevance Feedback in Knowledge Graph Search

Research article (Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015) · cited 33× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
August 7, 2015as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Exploiting Relevance Feedback in Knowledge Graph Searchas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2024888189as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1145/2783258.2783320as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 5
Huan Sun, Michelle Vanni, Mudhakar Srivatsa, Shengqi Yang, Sue E. Kase
← Author of 5
Huan Sun, Michelle Vanni, Mudhakar Srivatsa, Shengqi Yang, Sue E. Kase
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Summary

Exploiting Relevance Feedback in Knowledge Graph Search is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Exploiting Relevance Feedback in Knowledge Graph Search. Retrieved October 15, 2026, from https://4ort.xyz/entity/exploiting-relevance-feedback-in-knowledge-graph-search
MLA “Exploiting Relevance Feedback in Knowledge Graph Search.” 4ort.xyz Knowledge Graph, 4ort.xyz, 15 Oct. 2026, https://4ort.xyz/entity/exploiting-relevance-feedback-in-knowledge-graph-search.
BibTeX @misc{4ortxyz_exploiting-relevance-feedback-in-knowledge-graph-search_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting Relevance Feedback in Knowledge Graph Search}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-relevance-feedback-in-knowledge-graph-search}, note = {Accessed: 2026-10-15}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting Relevance Feedback in Knowledge Graph Search — https://4ort.xyz/entity/exploiting-relevance-feedback-in-knowledge-graph-search (retrieved 2026-10-15)

Canonical URL: https://4ort.xyz/entity/exploiting-relevance-feedback-in-knowledge-graph-search · Last refreshed: