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1 Parent(s): 4c2a767

feat: implement hybrid ranking engine for semantic and feature-based project similarity

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Files changed (8) hide show
  1. models/faiss_index.bin +2 -2
  2. models/metadata.parquet +2 -2
  3. models/project_embeddings.npy +0 -0
  4. src/similarity_model/__pycache__/feature_similarity.cpython-313.pyc +0 -0
  5. src/similarity_model/__pycache__/hybrid_ranker.cpython-313.pyc +0 -0
  6. src/similarity_model/__pycache__/preprocessing.cpython-313.pyc +0 -0
  7. src/similarity_model/__pycache__/semantic_search.cpython-313.pyc +0 -0
  8. src/similarity_model/hybrid_ranker.py +4 -1
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src/similarity_model/__pycache__/preprocessing.cpython-313.pyc CHANGED
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src/similarity_model/__pycache__/semantic_search.cpython-313.pyc CHANGED
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src/similarity_model/hybrid_ranker.py CHANGED
@@ -47,8 +47,11 @@ def get_dynamic_weights(
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  """
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  # No feature evidence at all — rely on semantic regardless of query richness
 
 
 
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  if coverage == 0:
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- return 0.70, 0.20, 0.10
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  # Rich features + high overlap → trust features heavily
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  if feature_count >= 5 and coverage >= 0.60:
 
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  """
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  # No feature evidence at all — rely on semantic regardless of query richness
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+ # Use 0.50 weight (not 0.70) to compensate for all-mpnet-base-v2's higher
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+ # within-domain baseline scores; prevents same-domain/different-purpose
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+ # projects from scoring too high when no features overlap.
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  if coverage == 0:
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+ return 0.50, 0.30, 0.20
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  # Rich features + high overlap → trust features heavily
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  if feature_count >= 5 and coverage >= 0.60: