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Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results

doctoral thesis by Oren Eli Zamir, Computer Science & Engineering, University of Washington, 1999
Place doctoral_thesis Q113668049
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Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results

Summary

Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results is a doctoral thesis[1].

Key Facts

  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results authored A Phrase-based Method for Grouping Search Engine Results — author (P50): Oren Eli Zamir[2].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's instance of is recorded as A Phrase-based Method for Grouping Search Engine Results — instance of (P31): doctoral thesis[3].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's OCLC number is recorded as 44267557[4].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's language of work or name is recorded as A Phrase-based Method for Grouping Search Engine Results — language of work or name (P407): English[5].
  • +1999-00-00T00:00:00Z marks the founding of Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results[6].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's work available at URL is recorded as http://hdl.handle.net/1773/6884[7].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+192'}[8].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+10'}[9].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's Handle ID is recorded as 1773/6884[10].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's title is recorded as Clustering Web Documents[11].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's subtitle is recorded as A Phrase-based Method for Grouping Search Engine Results[12].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's thesis submitted to is recorded as A Phrase-based Method for Grouping Search Engine Results — thesis submitted to (P4101): University of Washington[13].
  • Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's on focus list of Wikimedia project is recorded as A Phrase-based Method for Grouping Search Engine Results — on focus list of Wikimedia project (P5008): WikiProject PCC Wikidata Pilot/University of Washington[14].

Body

Designation and Status

Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results's instance of is recorded as A Phrase-based Method for Grouping Search Engine Results — instance of (P31): doctoral thesis[3].

History and Context

+1999-00-00T00:00:00Z marks the founding of Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results[6].

References

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

Direct Wikidata claims

  1. [3] ↑ . WorldCat. Retrieved . wikidata.org.
  2. [2] ↑ . WorldCat. Retrieved . wikidata.org.
  3. [4] ↑ . WorldCat. Retrieved . wikidata.org.
  4. [5] ↑ . WorldCat. Retrieved . wikidata.org.
  5. [6] ↑ . WorldCat. Retrieved . wikidata.org.
  6. [7] ↑ . WorldCat. Retrieved . wikidata.org.
  7. [8] ↑ . WorldCat. Retrieved . wikidata.org.
  8. [9] ↑ . WorldCat. Retrieved . wikidata.org.
  9. [10] ↑ . WorldCat. Retrieved . wikidata.org.
  10. [11] ↑ . WorldCat. Retrieved . wikidata.org.
  11. [12] ↑ . WorldCat. Retrieved . wikidata.org.
  12. [13] ↑ . WorldCat. Retrieved . wikidata.org.
  13. [14] ↑ . 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). Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results. Retrieved May 3, 2026, from https://4ort.xyz/entity/clustering-web-documents-a-phrase-based-method-for-grouping-search-engine-results
MLA “Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/clustering-web-documents-a-phrase-based-method-for-grouping-search-engine-results.
BibTeX @misc{4ortxyz_clustering-web-documents-a-phrase-based-method-for-grouping-search-engine-results_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results}}, year = {2026}, url = {https://4ort.xyz/entity/clustering-web-documents-a-phrase-based-method-for-grouping-search-engine-results}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results — https://4ort.xyz/entity/clustering-web-documents-a-phrase-based-method-for-grouping-search-engine-results (retrieved 2026-05-03)

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