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Hybrid Ranking

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Hybrid Ranking has 18 facts recorded in Dontopedia across 2 references, with 5 live disagreements.

18 facts·8 predicates·2 sources·5 in dispute

Mostly:has parameter(6), returns(2), computes(2)

Maturity scale raw canonical shape-checked rule-derived certified

Returnsin disputereturns

  • Hybrid Scores[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0
  • combined_scores[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18

Computesin disputecomputes

Has Parameterin disputehasParameter

  • Alpha Parameter[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0
  • Dense Scores Parameter[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0
  • Sparse Scores Parameter[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0
  • documents[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18
  • query[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18
  • embeddings[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18

Combinesin disputecombines

  • dense-retrieval[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18
  • sparse-retrieval[1]sourceall time · B2fa8237 A2ba 45f1 B609 1096fd02ce18

Callsin disputecalls

Rdfs:labelrdfs:label

  • hybrid_ranking[1]all time · B2fa8237 A2ba 45f1 B609 1096fd02ce18
  • hybrid_ranking[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0

Uses Weighted SumusesWeightedSum

  • true[2]sourceall time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0

Languagelanguage

  • Python[2]all time · Cdca0f91 6019 4a24 B271 06ad0f6f5bf0

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

18 undated
—
callsbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
ex:get_embeddings
—
callsbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
ex:sparse_retrieval
—
combinesbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
dense-retrieval
—
combinesbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
sparse-retrieval
—
computesbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
ex:combined_scores
—
computesbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
ex:weighted-sum
—
hasParameterbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
ex:alpha-parameter
—
hasParameterbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
ex:dense-scores-parameter
—
hasParameterbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
ex:sparse-scores-parameter
—
hasParameterbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
documents
—
hasParameterbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
query
—
hasParameterbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
embeddings
—
languagebeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
Python
—
labelbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
hybrid_ranking
—
labelbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
hybrid_ranking
—
returnsbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
ex:hybrid-scores
—
returnsbeam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
combined_scores
—
usesWeightedSumbeam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
true

References (2)

2 references
  1. [1]beam-chunk10 facts
    customctx:claims/beam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b2fa8237-a2ba-45f1-b609-1096fd02ce18
      Show excerpt
      vectorizer = TfidfVectorizer() tfidf_matrix = vectorizer.fit_transform(documents) query_vector = vectorizer.transform([query]) similarity_scores = (query_vector * tfidf_matrix.T).toarray() return similarity_scores def h…
  2. [2]beam-chunk8 facts
    customctx:claims/beam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cdca0f91-6019-4a24-b271-06ad0f6f5bf0
      Show excerpt
      def hybrid_ranking(sparse_scores, dense_scores, alpha=0.6): # Calculate weighted sum of sparse and dense scores hybrid_scores = alpha * sparse_scores + (1 - alpha) * dense_scores return hybrid_scores # Example usage: sparse_sco…

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